Next Article in Journal
Heavy Metal Content and Pollution Assessment in Typical Check Dam Sediment in a Watershed of Loess Plateau, China
Previous Article in Journal
Reply to Thomas, K. Comment on “Hossain et al. Exposure to Dodecamethylcyclohexasiloxane (D6) Affects the Antioxidant Response and Gene Expression of Procambarus clarkii. Sustainability 2021, 13, 3495”
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

The Assessment of Internal Indicators on The Balanced Scorecard Measures of Sustainability

1
Business Management, Cyprus International University, Via Mersin 10, Northern Cyprus, Nicosia 99258, Turkey
2
Faculty of Economics & Administrative Sciences, Cyprus International University, Via Mersin 10, Northern Cyprus, Nicosia 99258, Turkey
*
Author to whom correspondence should be addressed.
Sustainability 2022, 14(14), 8595; https://doi.org/10.3390/su14148595
Submission received: 14 June 2022 / Revised: 6 July 2022 / Accepted: 11 July 2022 / Published: 14 July 2022

Abstract

:
Background: Performance evaluation has become an essential tool for managers in the banking sector, which is undergoing frequent and rapid changes. It allows banks to maintain a high level of returns and reach their targets while staying competitive. In this context, sustainable performance management has emerged as essential for the banking sector. Indeed, the sustainable management of performance, while increasing the efficiency and effectiveness of organizations, also ensures sustainable measurement based on balanced scorecard practices. Purpose: This study aims to examine the assessment of internal indicators on the balanced scorecard of sustainability in the banking system in North Cyprus, which is one of the sustainable performance evaluation methods. Moreover, it aims to evaluate and reveal the effects of innovation performance, organizational culture, intrapreneurship, and the efficiency and effectiveness of the accounting information system on overall business performance in terms of the performance scorecard to achieve sustainable balanced scorecard systems. Design/Methodology/Approach: This study (BSC), which focuses on the banking industry in North Cyprus, was motivated by the recent and limited usage of a balanced scorecard. The questionnaire was used to gather data from 350 employees and managers of 21 banks in North Cyprus. Analyses of the collected data were conducted using structural equation modeling (SEM, AMOS 25). Findings: The findings of the research established that organizational culture, intrapreneurship, and accounting information system effectiveness have positive effects on a balanced scorecard and its sub-dimensions. Innovation performance does not affect the balanced scorecard and its sub-dimensions. Originality/Value: In identifying the advantages and contributions in BSC introduction and implementation, the study contributes to the current state of knowledge, enabling organizations which intend to use this tool to adopt it and develop it. This study takes organizations’ culture, innovation and intrapreneurship performance, and development on accounting and information systems into consideration in relation to the implementation process of BSC.

1. Introduction

Today’s businesses operating in a globally competitive environment need to evaluate their performance accurately to survive and gain a competitive sustainable advantage over their competitors. Accordingly, businesses need to determine a set of performance indicators that can reveal their real situation and analyze them correctly [1].
Creditors, investors, and other stakeholders give great importance to the performance evaluation of banks since it defines banks’ capabilities and limits to compete in the sector and has significance for the development of the sector. Knowledge-based economies today create value mostly through intangible assets. Intangible assets are extremely difficult to evaluate. Intangible assets such as employee capabilities, IT systems, and organizational culture are more valuable to companies than tangible assets. Intangible assets are more difficult for competitors to imitate, thus helping to achieve sustainable competitive advantage. Managers seek ways to value their intangible assets to manage their position effectively, and easily [2]. As a result, organization performance evaluation and management have been affected. An analysis of organizational performance compares the expected with the actual results, such as a company’s performance against its goals and objectives. The purpose of measuring organizational performance is so that the organization can improve, just as it does after measuring any other type of performance.
As a result, organizations choose to adopt multidimensional and strategy-compatible evaluation approaches [3]. An organization’s strategic goals are translated into performance objectives by using a balanced scorecard. The balanced scorecard aims to evaluate a company’s performance from a customer perspective, a financial perspective, an internal process perspective, and a learning–growth perspective [4].
Until the end of the 1980s, organizations had used performance evaluation methods based on accounting data and using only financial criteria. The significant issue that occurred in this situation was that the intellectual assets that generate value and the competitive advantage could not be quantified in terms of financial measures. Therefore, these methods could not offer the chance to be aware of issues or opportunities relating to customers, quality, and staff in advance [5]. Therefore, it is necessary to measure intangible assets using non-financial criteria [6].
As technology and economic developments have developed over the last three decades, the share of intangible assets in the structure of business assets has increased, and performance evaluation has become highly dependent on the measurement of these assets. Currently, these methods are no longer sufficient, and multidimensional evaluation methods are used based on cause-and-effect relationships appropriate to the business strategy. Thus, organizations have been able to measure and evaluate their actual performance thanks to performance evaluation methods suitable for their asset structures and diversity [7].
Some of the multidimensional performance evaluation methods used since the 1990s have been Performance Prism, Performance Pyramid, Performance Measurement Matrix, Skandia Guide, Integrated Performance Evaluation System, and Performance Report (Balanced Scorecard). The performance report entered the literature with an article written by Kaplan and Norton in 1992; in business performance, it has been used as a performance evaluation method that includes a customer dimension, an internal processes dimension, and learning development dimensions besides the financial dimension [4]. Later on, it was observed that the performance scorecard could not only be used as a performance evaluation method, but also as a strategic management model. There are studies on its effects on business performance as a result of its use as a performance measurement method and as a strategic management model in parallel with the phases of the performance scorecard. However, the number of studies addressing the impact of various factors on business performance in terms of dimensions of the performance scorecard is limited [3].
Therefore, the current study aimed to create an awareness of the companies that use non-financial criteria in addition to financial criteria in the evaluation of general business performance using balanced scorecard systems and to contribute to creating sustainable balanced scorecard systems.
The recent and restricted use of a balanced scorecard inspired this research (BSC) in the banking sector in North Cyprus. The banks use different techniques to measure their corporate performance and the performance of their employees in realizing their goals created in line with the vision and goals of the institution. These different techniques present difficulties in the comparative analysis of the performance realization performance of the same bank over time, and also employees find it difficult to comprehend. This research attempts to fill the identified scientific and applied gaps in the literature. There is a gap in the research on the relationship between organizational culture, intrapreneurship, and the effectiveness of accounting systems and BSC in banks in North Cyprus. This paper examines the effect of innovation performance, organizational culture, intrapreneurship, and the effectiveness of accounting systems as conditional variables on the balanced scorecard to solve the problems mentioned above and assist banks to improve the implementation of BSC.

2. Theoretical Background and Literature Review

2.1. Performance and Performance Evaluation Concepts

Almost every type of management uses the term performance. Most studies identify performance as or as equivalent to efficiency and effectiveness [8,9]. Performance is a topic that has attracted much discussion, but the term has not been well clarified, even when the core point of the article or book is performance evaluation or the management of performance [10,11].

2.1.1. Performance

According to Otley (1999), the act of staging or presenting a play, concert, or another type of entertainment is a performance [12]. In addition, it is possible to describe an action as the act or process of performing an action, task, or function. Performance is thus considered an uncertain concept without a simple definition.
According to Euske, Lebas, and McNair (1993), terms such as performance management, and according to Bruns (1992) terms such as performance measurement, evaluation, or appraisal are used in the management control area [13]. Additionally, performance is an expression that can be measured with numbers or, by establishing relationships between transactions, may be considered the ability to obtain a certain result which is extraordinary relative to that which was expected [13,14].
Didier (2002) argues that performance is achieved by means “of achieving the goals that were given to you in the union of the initiating directions”. Moreover, Didier stated that performance is not a simple finding of an outcome, but is the result of a comparison between the outcome and the objective [15].
Furthermore, according to Meyer (1998), performance is the success of the action of people or machines on a particular subject, and it might be the start of a new managerial discipline. Economically, performance is the value of expected revenues reduced to their present value [16].
In addition, Austin and Jody (2002) define performance as the effectiveness of a system that produces desired results [17].
Moreover, Baird (1986) argues that performance is a guided action [10]. On the other hand, the noun performance is an event. Generally, however, the word “performance” refers either to action or results, and in several cases it refers to both cases. Many researchers have discussed the point that “performance” has three meanings: action, the result of the action (through comparison with a benchmark), and success, e.g., [10,18,19,20].
Performance means action. Performance is an ongoing process but not an outcome. Performance is a process, not a goal, and its content becomes nearly secondary to its dynamics. The outcomes of an action are referred to as performance that is evaluated by an ex-post review of the findings. The performance aims for success. Performance is a measure of how successful different sorts of accounting information consumers are [19].
As discussed by Verboncu and Zalman (2005), performance is a measure of the competitiveness, efficiency, and effectiveness of the organization and its components obtained from management, economics, marketing, etc. Competitiveness can be thought of as the inverse of performance [21].
Therefore, responsible accounting systems should measure performance. The reason is that individuals, organizations, and systems can improve accordingly and keep improving in the long term to achieve sustainable performance development [22].

2.1.2. Performance Evaluation

Performance evaluation and performance measurement are different tools. Performance measurement has traditionally been used to track progress, assess performance, and identify areas that require improvement [23]. Performance measurement enables managers to attain performance indicators; on the other hand, performance evaluation involves a broader understanding because it reveals the features of the outcomes it has received and the cause-and-effect relationships in more detail. Therefore, in this study, it was preferred to use the concept of “performance evaluation” instead of the “performance measurement” concept [24].
Performance evaluation is a series of actions used to assess employees’ contributions to the organization and the final scores or outcomes that an employee obtains at the end of a predetermined period [24].
The most basic reason for conducting performance reviews is to increase performance [25]. As a result of performance evaluation, performance can be improved in two ways: through transformational feedback (which focuses on developing the ability to perform) and through managerial decisions that link assessed performance to organizational rewards and punishments such as pay, promotion, and discharge (aimed primarily at increasing motivation). In reality, however, psychological research on performance evaluation has underlined the first direction to performance development (i.e., feedback) significantly more than the ultimate rewards [26].
There are two dimensions to the concept of performance evaluation. The first dimension is organizational performance evaluation, where organizational goals and objectives are specified, together with the resources allocated to them, and where the results of realization are monitored and reported through a valuation set by top management. The other one is that individual performance evaluation is remotely different and is generally in the interest of human resources management [27].

2.1.3. Organizational Performance Evaluation

Organizational performance evaluation is a process that analyses and evaluates an organization’s products, services, and/or results together according to pre-determined goals and objectives for a certain period. In another respect, organizational performance evaluation is defined as “the use of quantitative indicators to evaluate organizational activities, efforts, and successes” [28] (p. 24).
Organizations have unique goals and objectives. As a result, any organization in any sector requires an appropriate evaluation system to control and be aware of its organizational activities. The meaning of organizational performance evaluation concepts varies depending on the business function. There are two perspectives for measuring strategic control and organizational performance. On the one hand, it illustrates the actions that are utilized to achieve the strategy within the organization and implemented from the top to the bottom. On the other hand, it provides the necessary information for the validity of strategy and content changes. Organizational performance evaluation systems, like budgeting and planning management, are evaluated equally in management accounting [29].
Institutions, organizations, and executive agencies are responsible for accountability to stakeholders with every mission, goal, or vision [30]. Banks are no exception; nonetheless, available performance evaluation methodologies reveal that they are empirical and focus solely on financial statistics, with little attention paid to the significance of non-tangible features of organizational structure [31].

2.1.4. Individual Performance Evaluation

Developing legitimate and accurate performance measuring methods in the workplace is a never-ending task for any business, involving concerns of the time, assessment unit, target, fulfilled, and performance evaluation system needs [32].
According to Scholtes (1987), the work schedule of an employee, including managers, is linked to numerous systems and processes that directly affect individual performance [33].
Furthermore, the unit of analysis is required to address the assessment unit analysis or the performance evaluation target to make early management decisions. The majority of performance evaluation systems assume that individuals work alone. In actuality, individuals in production work in groups. Additionally, Scholtes (1987) argued that performance evaluation encourages “lone rangers” and keeps individuals away from working together regularly over time. Managers must decide if a performance review should emphasize the individual or teamwork, whether the person should be evaluated at all, and, if so, whether individual and team criteria should be defined independently [33]. Organizations that maintain individual assessments may be used to help individual employees set and achieve their own professional goals rather than as a technique of discriminating among employees for rewards and promotions [32].

2.2. Sustainable Performance Management

Sustainable development was created 30 years ago to address the problems related to the environment and resources in the world, particularly energy. There has been a growing awareness of sustainable development over the past 10–15 years. In addition, ensuring a sustainable performance involving all stakeholders has become increasingly evident for the concerned organizations.
In developed countries, economic changes have led to the need for new guidelines focusing on sustainable development and business management. As a result of the release of new editions of international standards and the evolution of organizations that provide services in this area, progress has been made. For example, the ISO 9004 series of standards was released in 2009, and the new EFQM excellence models were released in 2010 [34].
It has been acknowledged by theorists and practitioners that performance evaluation needs to take place in contexts other than financial. Therefore, Peter Drucker first introduced the concept of management by objectives in 1954 in his book “The Practice of Management” [35].
Additionally, current performance assessment is used to enhance organizational performance, such as assisting the organization in tracking its progress toward its objectives, comprehending its current state, and addressing the main problems and potential solutions [36]. According to Ghosh [37], effective performance measurement can inform us of a course of action, the accomplishment of the objectives, customer happiness, control of the job, and the need for improvements.

2.3. Balanced Scorecard (BSC)

According to Kaplan and Norton (1996), a balanced scorecard is a management tool that helps a company put its strategy and vision into action. It translates an organization’s vision and strategy into a broad set of performance indicators that serve as the backbone of a strategic measurement and management system. Because the BSC contains a mixture of financial and non-financial variables, it has a balanced nature. This strategy promotes organizational improvement toward pre-determined objectives, using carefully chosen metrics to track progress. A BSC assists management by aligning specific business activities with the organization’s vision and strategy [3].
Chaudron (2003) indicated that the BSC is a tool for measuring an organizational or business unit, and/or departmental success, as well as achieving a balance between long- and short-term goals and the various indicators of progress, such as financial, customer, internal operations, and human resource systems and development (educational and growth) [38]. Moreover, according to Bourne (2002), the scorecard’s success is largely determined by how the measures are decided, carried out, and acted upon [27]. In general, employees neither comprehend the organization’s plan nor focus on the correct things; they also do not understand their role in achieving the goal, and as a result, they simply perform what is asked of them rather than what is required [39]. Moreover, employees strive to accomplish personal rather than organizational goals, because of the lack of harmony between employees and the organization’s strategies and goals. This also happens because of actual reward systems that concentrate on individual or sub-unit success rather than the accomplishment of organizational goals [40].
According to Frigo and Krumwiede (2000), the BSC can assist in relieving this condition because it demands organizations to be interrelated in several beneficial activities that describe the main strong suits of the BSC [41]. Interest in performance assessment systems among academics and practitioners as a tool for achieving strategic objectives has become well-established in the management literature [4,42].
Robert Kaplan and Davis Norton undertook a nearly year-long research effort with 12 cutting-edge performance assessment organizations in 1990. Finally, traditional performance measures are based on control difficulties and contain financial biases. They also overlooked the crucial problem of connecting operational performance to the firm’s strategic objectives and interacting with these objectives and performance outcomes at all levels of the organization. They also discovered that no individual statistic could establish an apparent performance target or monitor all of the company’s critical areas. They proposed the concept of a balanced scorecard as a clearer strategy for meeting these deficiencies [4].
Organizations are increasingly competing for survival and success in today’s sustainable competitive environment. Because of this fact, they must employ mechanisms for measurement and administration tightly linked to their capabilities and strategies. Using a balanced scorecard, organizations can bridge the gap between strategic objectives set at the top, and their operational performance [3]. Long-term goals can be successfully achieved by converting an organization’s vision and strategy into objectives and metrics, creating a framework for communicating this vision and strategy to all employees, and transferring people’s abilities, expertise, and know-how throughout the organization. To accomplish this translation, BSC creates a set of metrics that provide managers with a quick and comprehensive perspective of the company [43]. On the other hand, the balanced scorecard has a severe issue in that if a manager implemented a set of metrics purely based on it, the manager would be unable to answer one of the most basic questions of all, namely: what are our competitors doing (from the competitor perspective) [11]?

3. Hypotheses Development and Research Model

In line with the purpose of the research, the model and research hypotheses created to determine the effect of organizational culture, innovation performance, intrapreneurship, and the effectiveness of the accounting information system on the performance scorecard and its sub-dimensions are as follows:
H1. 
Organizational culture has a positive effect on the scorecard.
The literature on culture in organization studies has evolved through several interesting stages since the early 1980s when it first emerged [44].
Literature has shown that any accomplishment in BSC practice is, somehow, linked with corporate culture. Certainly, Kaplan noticed that organizations that used BSC successfully “had a culture in which people were deeply aware of and internalized the mission, vision, and core values needed to execute the company’s strategy”. As a result, information turned into a source of rivalry, which might be considered a sign of corporate culture [2] (p. 4).
As a result of considering BSC in terms of monetary and nonmonetary measurements, the social typologies of organizations can be observed and evaluated, as well as the manner in which top managers use these measures. In this precise position, it is reasonable to contend that BSC has a positive relationship between the culture of the organization and traditional PMS [40].
Carmona (2011) and Woodley (2006) highlight that when it comes to implementing BSC, business culture is crucial [45,46]. The researchers also found that an organization’s culture has a significant impact on its success [2,12]. The culture in which mission, vision, and objectives are converted into actions is critical to the successful implementation of BSC [46].
Researchers have also discovered that an organization’s culture has a direct impact on BSC implementation [47,48]. According to Barney (1986), firms that have cultures with the required attributes can obtain sustained superior financial performance from their cultures [49] (p. 656). Additionally, according to Soleimani (2012), company culture has an influence on the success of a balanced scorecard, and employee involvement is critical [50] (p. 117). Hence, the following sub-hypothesis has been developed on the corporate culture and use of BSC.
H1.1. 
Organizational culture has a positive effect onthe financial dimension of the scorecard.
H1.2. 
Organizational culture has a positive effect on the customer dimension of the scorecard.
H1.3. 
Organizational culture has a positive effect on the internal processes dimension of the scorecard.
H1.4. 
Organizational culture has a positive effect on the learning and development of the scorecard.
H2. 
Innovation performance has a positive effect on the scorecard.
The use of information and communication technology and innovations in a company has a significant impact on the performance of corporate operations in today’s economic and political globalization. The level of application has a substantial effect on the decision-making process in firms by smoothing and speeding up the process, changing the corporate direction and strategy, and increasing profits [51].
BSC is essentially a new organizational approach. It is about embracing new ways of thinking and methods, as well as innovation and change. As a result, employee training and education efforts may aid in the facilitation of this transition by providing employees with the knowledge and skills needed to adapt to and lead this change. The BSC team, the role employees play in exercising good business judgment, and the precise procedures for implementing BSC should all be included in training [52].
Innovative companies encourage experimentation, reward both success and failure, celebrate mistakes, enjoy taking risks, and actively assist their employees’ training and growth while providing high job security, with the result that their employees are not afraid of being fired for making mistakes [53] (p. 604). Innovative organizations allow their employees freedom and encourage risk-taking and making mistakes [54]. According to previous research [55,56], there is a positive relationship between innovation performance and a balanced scorecard. On this basis, we developed the following sub-hypotheses:
H2.1. 
Innovation performance has a positive effect on the financial dimension of the scorecard.
H2.2. 
Innovation performance has a positive effect on the customer dimension of the scorecard.
H2.3. 
Innovation performance has a positive effect on the internal processes dimension of the scorecard.
H2.4. 
Innovation performance has a positive effect on the learning and development dimension of the scorecard.
H3. 
Intrapreneurship has a positive effect on the scorecard.
Antoncic and Hisrich (2001) define intrapreneurship as involving not only new business investments, regardless of their size, but also investments in new products, services, technology, and management techniques, and as a process leading to other innovative activities and changes, such as in the competitive structure [57] (p. 498).
Zahra (1995) considers intrapreneurship as corporate entrepreneurship in a company as a combination of innovation, entrepreneurial efforts, and innovation activities [58].
The achievement of intrapreneurship is a complicated process with long-term advantages for firms. Changing the culture of an existing organization by defining new goals and policies, enhancing cross-feedback, and devising and implementing result-oriented rewards can all be utilized to gradually but firmly build the spirit of intrapreneurship [59]. According to the previous research, there is a positive relation between intrapreneurship and a balanced scorecard. On this basis, we developed the following sub-hypotheses [60,61]:
H3.1. 
Intrapreneurship has a positive effect on the financial dimension of the scorecard.
H3.2. 
Intrapreneurship has a positive effect on the customer dimension of the scorecard.
H3.3. 
Intrapreneurship has a positive effect on the internal processes dimension of the scorecard.
H3.4. 
Intrapreneurship has a positive effect on the learning and development dimension of the scorecard.
H4. 
The effectiveness of the accounting information system has a positive effect on the scorecard.
A company or organization’s accounting information system keeps track of its financial transactions. These systems are designed to mix IT sector technology, including user interfaces, computers, and complex software, with methodology, control, and accounting approaches. Internal reporting data, external reporting data, financial statements, and trend analysis capabilities are all available through the software used to manage transactions [62].
Improved adjustment to a changing environment, improved management of information production and distribution, and a high degree of competition attainment are the major benefits of efficient accounting information system use. There is also an increase in the flow of information between different levels of staff and the potential for new business on the network, as well as enhanced external ties for the company, namely, with overseas clients who browse the company’s website. Due to increased intercommunication within the company, traditional businesses have more opportunities to diversify [48,63,64].
According to Ditkaew (2013), there is a significant and positive relationship between the quality of the accounting information system and the internal control and decision-making systems of enterprises, and the quality of the accounting information system indirectly affects business performance [65]. On this basis, we developed the following sub-hypotheses:
H4.1. 
The effectiveness of the accounting information system has a positive effect on the financial dimension of the scorecard.
H4.2. 
The effectiveness of the accounting information system has a positive effect on the customer dimension of the scorecard.
H4.3. 
The effectiveness of the accounting information system has a positive effect on the internal processes dimension, which is one of the sub-dimensions of the scorecard.
H4.4. 
The effectiveness of the accounting information system has a positive effect on the learning and development dimension of the scorecard.
The research model is shown in Figure 1.

4. Methodology

4.1. Setting and Sample

The study utilized a judgmental sampling method during the collection of the data. The questionnaire was distributed to a selected sample of respondents via the internet site called “Google Forms”. Data were collected from 21 banks in North Cyprus having the largest employment capacity. Collected data were analyzed with a structural equation model (SEM, AMOS 25).
The target population included 173 managers, 40 supervisors, and 137 further employees (Table 1). The majority of the variables from the earlier studies were used to measure the survey’s variables. Instruments developed by Kaplan (1996) were used to measure BSC [2].

4.2. Instrumentation

This study aimed to explore the effects of sustainable organizational practices on BSC. The questionnaire form consists of five sections and a total of ninety-three questions. There are nine questions in the first part of the questionnaire, which contains general information about the organization and demographic data about the participants. In the second part, thirty-three questions are included to determine the organizational culture and innovation performance; in the third part, there are eighteen questions to define intrapreneurship, and the fourth part contains twelve expressions for determining the efficiency of the accounting information system. In the fifth section, there are twenty questions for determining the business performance with the dimensions of the scorecard.
The scales for the variables in the research model are as follows:
Organizational Culture Scale: The scale was initially developed by Cameron and Quinn (1999) to measure organizational culture, and it was translated into Turkish in the study “The Impact of Organizational Culture on Innovation Performance Effects [66]: Application in Kayseri Manufacturing Sector.” by Kurt, T. (2010) [67]. This scale was used also by Karcıoğlu and Timuroğlu in their study named “Organization Culture and Leadership” (2004) [68]. The scale consists of 24 questions and is organized based on a 5-point Likert Scale (1—strongly disagree, 5—strongly agree) and has a Cronbach’s alpha value of 0.703. Expressions such as “The leader in this business is generally seen as a guide, assistant, or trainer”, “The management style in my business is characterized by the concepts of teamwork, consensus, and participation”, and “My business defines success with the development of human resources, teamwork, employee commitment and attention to people”, can be shown as examples of the expressions directed to the participants within the organizational culture scale [60].
Innovation Performance Scale: The scale was developed by (Calantone; Cavusgil; Zhao, 2002; Janssen, and Yperen, 2004) to measure innovation performance [51,69]. It was translated into Turkish by Kurt (2010) [67]. The scale consists of 10 questions and was created according to a 5-point Likert Scale (1—strongly disagree, 5—strongly agree) and has a Cronbach’s alpha value of 0.750. “In my business, new ideas are tried frequently”, “New product initiative in my business has increased over the past 5 years” and “In my company, innovative ideas are systematically put into practice” are some of the expressions included in the scale [51,69].
Intrapreneurship Scale: The Intrapreneurship Scale was developed by Antoncic and Hisrich, 2001; Zahra and Covin, 1995; Zahra and Garvis, 2000; Zahra; Neubaum and Huse, 2000; Azulay et al., 2002; Naktiyok, 2004. It brings together different dimensions and was used in this study [57,58,61,70,71,72]. There are 18 questions in the scale that were developed according to a 5-point Likert Scale (1—strongly disagree, 5—strongly agree), with a Cronbach’s alpha value of 0.846. Statements such as “differentiating products and production processes and systems”, “Searching for new business/business opportunities for existing products”, and “Taking decisions by acting boldly instead of waiting when the decision-making situation involves uncertainty” are some of the statements directed at the participants within the scope of the scale by the same authors [57,58,70,71,72,73].
The Effectiveness of the Accounting Information System Scale: This scale, which was first developed by Nicolaou (2000) to measure the effectiveness of the accounting information system and was adapted into Turkish in the study entitled “Effectiveness of Accounting Information System: A Research on Small and *Medium-Sized Businesses”, was used in this study [74,75]. There are twelve questions on the scale, arranged according to a 5-point Likert Scale (1—strongly disagree, 5—strongly agree), with a Cronbach’s alpha value of 0.946. “Do you think that the reports received from the accounting information system are presented in a useful way?”, “Is it possible to get up-to-date information from the accounting information system?” and “Is the accounting information system easy to use?” are examples of the statements in the scale [74].
Scorecard Scale: A compilation was made from the most used criteria for dimensions in the literature, adhering to the scale format first developed by Kaplan and Norton (1992) to measure business performance [4]. As suggested by the performance scorecard, the business performance was evaluated in four dimensions: the financial dimension, the customer dimension, the internal processes dimension, and the learning and development dimension. On a scale of 0–100, participants answered the performance requirements within each dimension, taking into account both the desired and actual outcomes. The scale has 20 questions, five of which fall under each dimension: financial, customer, internal business process, and learning and growth [4]. Dimensions and expressions within the dimensions are weighted equally with each other. Every dimension has a Cronbach’s value above the lower threshold value of 0.7, which is recommended in the literature as shown in Table 2.
Some of the performance criteria in the scale are for the financial dimension (cash flow, profitability, and the efficient use of assets); the customer dimension (customer satisfaction, customer continuity); and internal processes (product/service quality level and capacity utilization rate, training and development of the employees for the learning and development dimension, and the satisfaction of the employees). This performance appraisal approach is similar to perceptual performance appraisal, one of the performance appraisal approaches frequently used in the literature [76].

4.3. Analysis

The SPSS 24 and AMOS 25 software were used in the analysis of the data. First of all, validity and reliability analyses of the scales used in the research were conducted. Then, the direction and severity of the relationship between the variables were determined by performing correlation analyzes. Finally, regression analyzes were performed using SSPS 24 to test the research hypotheses.

5. Results

5.1. Reliability and Validity Analysis

Cronbach’s alpha coefficients were taken into account to judge the reliability of the variables in the study. Reliability analysis results are shown in Table 2.
According to Table 2, the Cronbach’s Alpha values for organizational culture, innovation performance, intrapreneurship, accounting information system effectiveness, performance scorecard, and sub-dimensions were between 0.703 and 0.945. These values were above the lower threshold value of 0.7, which is recommended in the literature [77]. Confirmatory factor analysis was performed using the AMOS 25 software to evaluate construct validity (CFA). The results on CFA showed that the model had good fit indices (CMIN/DF = 2.879, GFI = 0.921, NFI = 0.877, TLI = 0.903, RMSEA = 0.048). The findings show that reliability and validity are good and provide the necessary conditions for research [70].

5.2. Descriptive Statistics and Correlations

The distribution of the data has a very important effect on the determination of the analyses to be made [78]. Skewness and kurtosis values were checked to verify whether the data fit the normal distribution. The results of the descriptive statistical analysis showed that the skewness and kurtosis values were between the values suggested by Hair (2010) [79]. This demonstrates that normal distribution conditions are provided and that the data collected can be used for reliability and validity analyses [80].
The results of the analysis performed to determine the relationship between the variables are presented in Table 3. Due to the normal distribution of the data, the Pearson correlation coefficient was taken into account in the correlation analysis.
Table 3 shows that there was a significant positive correlation between the variables and that the p-significance value reached the 0.05 significance level. The value range of the correlation coefficient between the variables was between 0.120 and 0.935.

5.3. Hypotheses Testing

Regression analysis was performed using the SPSS 24 software to test the research hypotheses. The results obtained are presented in Table 4.
The regression results show that organizational culture had a positive and meaningful effect on performance scorecard (β = 0.271, p < 0.05) and its sub-dimensions, customer (β = 0.354, p < 0.05), internal business (β = 0.321, p < 0.05), and LAD (β = 0.264, p < 0.05). Therefore, H1, H1.2, H1.3, and H1.4 are supported. In addition, the effect of AISE on performance scorecard (β = 0.123, p < 0.05) and its sub-dimensions, financial (β = 0.163, p < 0.05), internal business (β = 0.199, p < 0.05), and LAD (β = 0.125, p < 0.05), was also significant and positive. Therefore, H4, H4.1, and H4.3 are supported.
Finally, while intrapreneurship has a significant and positive effect on the performance scorecard and all its sub-dimensions, innovation performance does not have any effect on the performance scorecard and all its sub-dimensions. Therefore, H3, H3.1, H3.2, H3.3, and H3.4 are supported but H2, H2.1, H2.2, H2.3, and H2.4 are not supported.

6. Discussion and Implications

6.1. Discussion

As mentioned by Atan (2014), in the world of business, the rapid rate of change, which is growing faster and faster, appears to be here to stay and to dominate the understanding of how to conduct business [81]. In this rapidly changing business environment, the assets that create value in the economy of today founded on knowledge are largely intangible. The evaluation and management of organizational performance have also been affected by this fact. As a result, organizations have begun to adopt multi-dimensional and strategy-compatible evaluation methodologies, as opposed to traditional methods. The balanced scorecard is the most essential of these techniques.
According to Kılıç and Uludağ (2021), organizations’ eventual objective is to improve their performance to become more effective and efficient. Organizations’ current performance levels are consistent with the levels of information they have accumulated and the methods through which they have applied that knowledge. One of the purposes of the balanced scorecard is to measure how organizational performance is affected individually. Organizations that seek to increase their performance must adapt to the information age’s environment in which individuals can develop knowledge [82].
Balanced scorecard usage is a new concept for the banking sector in North Cyprus. It is now widely accepted that creditors, investors, and other stakeholders give great importance to the performance evaluation of banks since it defines banks’ capabilities and limits to compete in the sector and is seriously significant for the development of the sector. The financial perspective, customer perspective, internal processes perspective, and learning–growth perspective are all considered in the balanced scorecard evaluation. Because of this fact, this survey was conducted on the banks operating in North Cyprus.
The survey contains the organizational culture, the innovation performance, and the efficiency of the accounting information system variables. According to the findings, among these variables, the most effective variable was intrapreneurship. The organizational culture and efficiency of the accounting information system also positively affect the performance score. It is recommended to discuss these results to show that innovation performance does not positively affect the performance of the balanced scorecard.
According to the results of the regression models established between the organizational culture and the scorecard and its sub-dimensions, organizational culture has a significant impact on both the overall scorecard and its dimensions except financial dimension (β = 0.145, p > 0.05). According to the dimensions of the scorecard, this effect is most notable in the customer dimension (β = 0.354). The customer perspective of BSC is concerned about how the company appears to customers. Customers are one of the three groups of strategic individuals who demand quality in the products and services offered, and they are the drivers that increase the competitiveness of the organization. The other two groups are the investors and the employees of the company. According to Kaplan and Norton (2004), for many companies, organizational culture can end up being more valuable than its own tangible assets, and these results also support their discussion [2].
When the relations between the efficiency of the accounting information system and the performance scorecard and its sub-dimensions are examined, it is seen that three of the established models are meaningful and valid models. They are financial, internal business, and LAD dimensions of the scorecard. Among these three, AISE has the most significant impact on internal business (β = 0.199).
Regression analysis also establishes a positive relationship between intrapreneurship (β = 0.656) and the performance scorecard and its sub-dimensions.

6.2. Managerial Implications

As mentioned above, different banks are at various stages of implementing the balanced scorecard into their organizations. The goal of this study was to give managers some guidelines about the implementation of the balanced scorecard to achieve sustainable appraisal management systems. Furthermore, this study contributes significantly to the theory and practical applications of balanced scorecards. The survey experimentally assesses how the organization’s culture, its approach to intrapreneurship, and investment in AISE have a positive impact on the balanced scorecard and, therefore, the success of the bank in reaching its goals.
In this study, organizational culture was assessed as having a positive effect on the performance scorecard, and it has a more noticeable positive effect on the customer dimension. Therefore, businesses, in this case especially banks, aiming to have a better performance scorecard need to create an effective organizational culture environment. In this context, banks should:
  • Provide a more dynamic and entrepreneurial environment;
  • Have a guiding and unifying leadership structure;
  • Give importance to entrepreneurial, innovative leadership;
  • Establish loyalty, bond, and mutual trust among the employees;
  • Give importance to the self-development of employees, support trust and openness among employees, and also enable participation in decisions;
  • Enable and encourage employees to share;
  • Create a competitive and success-oriented working environment among the employees;
  • Ensure continuity and stability in the working environment;
  • Have an organizational culture where new sources are reached and new developments are followed and implemented.
The findings obtained from the analyses have proven that the effectiveness of the accounting information system has a positive effect on the performance scorecard as a whole. However, when we evaluate it in terms of the dimensions of performance, it is seen that it does not affect the customer dimension. It has an impact on the financial dimension, the intrapreneurship dimension, and the learning and development dimension. Therefore, to have performance improvement in the financial dimension, the internal business dimension, and the learning and development dimension, the accounting information systems in the enterprises should be as follows;
  • In a clear and understandable format;
  • Able to meet the need;
  • Of such a nature as to produce information in a timely manner.
The findings obtained from the analyses have proven that intrapreneurship has the most evident positive effect on the performance scorecard as a whole. It has an impact on all sub-dimensions of the scorecard, especially the customer dimension. Banks, in order to have performance improvement on all sub-dimensions of the scorecard, should
  • Be a pioneer in technology;
  • Support new ideas, against mistakes;
  • Be encouraged;
  • Not make priority opportunity evaluations;
  • Create an environment where resources are easily accessible and available;
  • Support a teamwork approach;
  • Have a reward system;
  • Support all intrapreneurship activities by senior management;
  • Enable employees to take the initiative by giving them responsibility and authority.
The results from this study enable drawing the conclusion that innovation performance does not have a positive effect on the performance scorecard and its sub-dimensions. Therefore, businesses, in this case especially banks, aiming to have better performance scorecard systems need to overcome the obstacles standing in front of innovation development in banks. In this context, here are some problems banks have to deal with:
  • Changes in the design of branches may not be welcomed by existing customers, especially in rural areas.
  • The implementation of new technology should be fast and should support innovation. Basic technological services should be satisfactory and easy to use. Performance measurement software, databases, and other systems should provide more support for sales.
  • Changing bank branches into sales-oriented financial stores. Finding strategies to improve sales by taking advantage of sales opportunities that normal servicing may present.
  • The challenge is putting in place the essential human resource strategies to support the new performance-oriented organization.

7. Conclusions

Organizations’ future depends on the decisions made by their managers regarding their activities, the majority of which are directly related to their assets. Because of the competitive environment banks operate in, they need to measure, evaluate, and manage their organizational performance. In the literature, performance management is specified as a method that undertakes activities to achieve the desired strategic objectives of an organization by gathering, comparing, and initiating, new and necessary arrangements that will secure the constant improvement of performance to gather information about how the business is currently and will be in the future.
There are reasons why traditional appraisal has been criticized, such as for weighting financial criteria such as return on assets (ROA) and return on capital employed (ROCE), focusing on the short term, applying retrospectively, not supporting strategic applications, being out of touch with the realities of the business world, and being irrelevant to many parts of the business [83,84].
The performance scorecard term was introduced to the business world by Kaplan and Norton (1992) as a concept to solve criticized problems and bring a new approach to performance management [4]. The measurement and evaluation of performance are integral parts of performance management. A performance scorecard is a dynamic performance measurement, that provides strategic feedback; reaches the strategy from the data, and develops the strategy, evaluation, or strategic management technique that aims to make it applicable by making it a daily work.
Therefore, this study is conducted in this field to investigate the relationship between organizational culture, innovation performance, intrapreneurship, and the effectiveness of the accounting information systems of the organization and balanced scorecard and its sub-dimensions—financial, customer, internal business, and learning and growth. The results from this study show a strong positive relationship between intrapreneurship and the scorecard as a whole. There is also a positive relationship between the organization’s culture and the accounting information systems of the organization. Only the effectiveness of the accounting system of the banks does not have a meaningful relationship with the customer dimension of accurate and timely financial information for managers and employees. The survey results indicate that there is no meaningful relationship between the innovation performance of the banks and the performance of the balanced scorecard as a whole.
Effective innovation development necessitates the involvement of nearly every department inside the bank, from information systems to marketing to human resources, as well as the reorganization of branch layouts. Looking at the distribution innovation becomes costly. The basic performance-related innovation problems can be listed as:
  • The doubtful attitude of employees and customers and their resistance to change.
  • Technological infrastructure investments are both expensive and there are problems with competent employees.
  • Considering the number of customers, balance sheet size, and thus the profitability of banks in a small country like Cyprus, the physical renewal of branches and other infrastructure investments are time-consuming and relatively slow.
  • Difficulties faced in terms of human resources, new job definitions, and difficulty in defining authority and responsibilities.
  • The cultural diversity of Cyprus’ customers who receive service from banks. For example, there are ex-pat branches and their customers have different demands and expectations for innovation.
  • Challenges in technological investments related to the non-recognition of North Cyprus.
  • The fact that banking is a sector that is slowly being renewed due to laws and regulations in general.
To analyze this result, a study was conducted based on sectoral information gathered from the North Cyprus Central Bank’s bulletin (June 2021/II) [85]. The bulletin states that the number of banks operating in the banking sector is 21. Among these 21 banks, 2 are publicly managed banks, 14 are private banks, and 5 are foreign private banks. By the end of June 2021, the total number of employees in the sector was 3104, and 509 of them were employed in public-managed banks, 2067 in local private banks, and 528 in foreign banks. In this survey, questionnaires were distributed randomly via the internet and respondents were asked about the type of bank they were working for. The results were: 23 percent in publicly managed banks, 60 percent in private banks, and the remaining 17 percent in foreign banks.
When explaining the results of this survey, it is important to keep in mind certain limitations. First of all, questionnaire data based on self-reported data may be affected by social desirability bias (SDB), common method variance (CMV), and response distortion resulting from ego-defensive responses [86]. Considering diverse cultures and organizational structures may lead to different results. Therefore, future studies should carefully investigate the relationship between organizational culture, innovation performance, intrapreneurship, and the effectiveness of accounting systems as variables and BSC with its sub-dimensions. The same hypotheses should be tested in different organizations; in BSC, organizations should be adopted that construct a causal model of their strategy in order to see the BSC program as improving their company’s competitiveness.

Author Contributions

Conceptualization, F.G., T.A. and M.K.; methodology, F.G., T.A. and M.K.; software, Lisrel 8.54; validation, F.G. and T.A.; formal analysis, F.G. and T.A.; investigation, F.G. and M.K.; resources, F.G.; data curation, F.G. and T.A.; writing—original draft preparation, F.G. and M.K.; writing—review and editing, F.G., T.A. and M.K.; visualization, F.G.; supervision, T.A. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Ethical review and approval were waived for this study based on the consent of the thesis advisor, which is acknowledged by the ethical committee of the Cyprus International University.

Informed Consent Statement

Informed consent was obtained from all subjects involved in the study.

Data Availability Statement

The data will be made available upon request from the corresponding author.

Acknowledgments

The authors thank the staff of the banks operating in North Cyprus and the head managers of some of these banks for their helpful suggestions and for facilitating and supporting the data collection process.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Evans, J.R.; Lindsay, W.M. The Management and Control of Quality, 6th ed.; Thomson South-Western: La Jolla, CA, USA, 2005. [Google Scholar]
  2. Kaplan, R.S.; Norton, D.P. Measuring the strategic readiness of intangible assets. Harv. Bus. Rev. 2004, 82, 52–63. [Google Scholar]
  3. Kaplan, R.S.; Norton, D.P. Using the balanced scorecard as a strategic management system. Harv. Bus. Rev. 1996, 74, 2–13. [Google Scholar]
  4. Kaplan, R.S.; Norton, D.P. The Balanced Scorecard—Measures That Drive Performance. Harv. Bus. Rev. 1992, 70, 71–79. [Google Scholar]
  5. Niven, P.R. Balanced Scorecard Step-by-Step: Maximizing Performance and Maintaining Results; John Wiley & Sons: Hoboken, NJ, USA, 2002. [Google Scholar]
  6. Kang, H.H.; Gray, S.J. Reporting intangible assets: Voluntary disclosure practices of top emerging market companies. Int. J. Account. 2011, 46, 402–423. [Google Scholar] [CrossRef] [Green Version]
  7. Metawie, M.; Gilman, M. Problems with the implementation of performance measurement systems in the public sector where performance is linked to pay: A literature review drawn from the UK. In Proceedings of the 3rd Conference on Performance Measurements and Management Control, Nice, France, 22–23 September 2005. [Google Scholar]
  8. Neely, A.; Gregory, M.; Platts, K. Performance measurement system design: A literature review and research agenda. Int. J. Oper. Prod. Manag. 1995, 15, 80–116. [Google Scholar] [CrossRef]
  9. Corvellec, H. From one language into another or the mutation of a notion. In Proceedings of the Seventeenth European Accounting Association Congress, Venice, Italy, 4–8 April 1994. [Google Scholar]
  10. Baird, L. Managing Performance; John Wiley & Sons: Hoboken, NJ, USA, 1986. [Google Scholar]
  11. Neely, A.; Gregory, M.; Platts, K. Performance measurement system design: A literature review and research agenda. Int. J. Oper. Prod. Manag. 2005, 25, 1228–1263. [Google Scholar] [CrossRef]
  12. Otley, D. Performance management: A framework for management control systems research. Manag. Account. Res. 1999, 10, 363–382. [Google Scholar] [CrossRef] [Green Version]
  13. Euske, K.J.; Lebas, M.J.; McNair, C.J. Best Practices in World Class Organizations: Final Report, R-93-CMS-01; CAM-I: Austin, TX, USA, 1993. [Google Scholar]
  14. Bruns, W.J. Performance Measurement, Evaluation, and Incentives; Island Press: Washington, DC, USA, 1992. [Google Scholar]
  15. Didier, N. Manager les Performances (Managing Performance); Insep Consulting Editions: Paris, France, 2002. [Google Scholar]
  16. Meyer, M.W. Finding performance: The new discipline in management. In Performance Measurement—Theory and Practice; Neely, A.D., Waggoner, D.B., Eds.; Centre for Business Performance: Cambridge, UK, 1998; Volume I, pp. xiv–xxi. [Google Scholar]
  17. Austin, R.D.; Gittell, J.H. When it should not work but does: Anomalies of high performance. In Business Performance Measurement; Cambridge University Press: Cambridge, UK, 2002; pp. 80–106. [Google Scholar]
  18. Niculescu, M.; Lavalette, G. Strategii de Creştere; Editura Economică: Bucharest, Romania, 1999; p. 255. [Google Scholar]
  19. Burguignon, A. Peut-on definer la performance? Rev. Fr. Gest. 1995, 269, 61–66. [Google Scholar]
  20. Corvellec, H. Translating Management Accounting Terms-The Case of performance. Adv. Int. Account. 1995, 8, 129–147. [Google Scholar]
  21. Verboncu, I.; Zalman, M. Management şi Performanţe; Editura Universitară: Bucharest, Romania, 2005. [Google Scholar]
  22. Johnson, H.T.; Kaplan, R.S. The rise and fall of management accounting. IEEE Eng. Manag. Rev. 1987, 15, 36–44. [Google Scholar] [CrossRef]
  23. Neely, A.; Bourne, M.; Mills, J.; Platts, K.; Richards, H. Strategy and Performance: Getting the Measure of your Business; Cambridge University Press: Cambridge, UK, 2002; Volume 2. [Google Scholar]
  24. Helgason, S. Improving Evaluation Practices: Best Practice Guidelines for Evaluation and Background Paper; OECD: Paris, France, 1999; Volume 7. [Google Scholar]
  25. Murphy, K.R.; Cleveland, J.N. Understanding Performance Appraisal: Social, Organizational, and Goal-Based Perspectives; Sage Publications: Newbury Park, CA, USA, 1995. [Google Scholar]
  26. Arvey, R.D.; Murphy, K.R. Performance evaluation in work settings. Annu. Rev. Psychol. 1998, 49, 141–168. [Google Scholar] [CrossRef]
  27. Neely, A.; Bourne, M. Why measurement initiatives fail. Meas. Bus. Excell. 2000, 4, 3–7. [Google Scholar] [CrossRef]
  28. Bartels, C.E. Examining the Impact of Performance Measurement and Risk Assessment in Tax Increment Financing (TIF) Districts in the Dallas-Fort Worth Metroplex. Ph.D. Thesis, The University of Texas at Dallas, Dallas, TX, USA, 2010. [Google Scholar]
  29. Franco-Santos, M.; Kennerley, M.; Micheli, P.; Martinez, V.; Mason, S.; Marr, B.; Gray, D.; Neely, A. Towards a definition of a business performance measurement system. Int. J. Oper. Prod. Manag. 2007, 27, 784–801. [Google Scholar] [CrossRef] [Green Version]
  30. Morevati Sharif Abadi, A. Impact of organizational culture on employee’s performance. In Proceedings of the Second National Conference of Performance Management, Tehran, Iran, 18 May 2005; pp. 1–9. [Google Scholar]
  31. Amiryoussefi, K.; Hafezi, B. Productivity in banking case study: Productivity measurement in state banks networks of Isfahan. J. Res. Econ. Policies 2007, 39–40, 27–59. [Google Scholar]
  32. Gabor, A. Take This Job and Love It. New York Times, 26 January 1992. Available online: https://www.nytimes.com/1992/01/26/business/take-this-job-and-love-it.html(accessed on 4 November 2009).
  33. Scholtes, P.R. An Elaboration on Deming’s Teachings on Performance Appraisal; Joiner Associates: Athens, Georgia, 1987. [Google Scholar]
  34. ISO 9004-2009-11-01. Managing for the Sustained Success of an Organization—A Quality Management Approach, 3rd ed. Available online: http://www.cmcq.com.cn/download/9004.pdf/ (accessed on 4 November 2009).
  35. Drucker, P. Managing in the Next Society; Truman Talley Books: New York, NY, USA; St. Martin’s Press: New York, NY, USA, 2002. [Google Scholar]
  36. Searcy, C.; Karapetrovic, S.; McCartney, D. Application of a Systems Approach to Sustainable Development Performance Measurement. Int. J. Product. Perform. Manag. 2008, 57, 182–197. [Google Scholar] [CrossRef]
  37. Ghosh, S. Measuring Sustainability Performance of Local Food Production in Home Gardens. Local Environ. Int. J. Justice Sustain. 2014, 19, 33–55. [Google Scholar] [CrossRef]
  38. Chaudron, D. The Balanced Scorecard & Performance Improvement. 2003. Available online: http://www.organisedchange.com/balancedscorecard.htm (accessed on 12 May 2008).
  39. Abernathy, W.B. Managing Without Supervising: Creating an Organization-Wide Performance System; WB Abernathy & Associates: Concord, MO, USA, 2000. [Google Scholar]
  40. Kerr, S. On the folly of rewarding A, while hoping for B. Acad. Manag. J. 1975, 18, 769–783. [Google Scholar]
  41. Frigo, M.L.; Krumwiede, K.R. The balanced scorecard. Strateg. Financ. 2000, 81, 50–54. [Google Scholar]
  42. Eccles, R.G.; Pyburn, P.J. Creating a comprehensive system to measure performance. Strateg. Financ. 1992, 74, 41. [Google Scholar]
  43. Kaplan, R.S.; Norton, D.P. The Balanced Scorecard: Translating Strategy into Action; Harvard Business School Press: Boston, MA, USA, 1996. [Google Scholar]
  44. Denison, D.R. What is the difference between organizational culture and organizational climate? A native’s point of view on a decade of paradigm wars. Acad. Manag. Rev. 1996, 21, 619–654. [Google Scholar] [CrossRef]
  45. Carmona, S.; Iyer, G.; Reckers, P.M. The impact of strategy communications, incentives and national culture on balanced scorecard implementation. Adv. Account. 2011, 27, 62–74. [Google Scholar] [CrossRef]
  46. Woodley, P.M. Culture Management Through the Balanced Scorecard: A Case Study. Ph.D. Thesis, Cranfield University, Bedfordshire, UK, 2006. Unpublished. [Google Scholar]
  47. Soudani, S.N. The Usefulness of an Accounting Information System for Effective Organizational Performance. Int. J. Econ. Finance 2012, 4, 136. [Google Scholar] [CrossRef]
  48. Asaro, P.M. Transforming society by transforming technology: The science and politics of participatory design. Account. Manag. Inf. Technol. 2000, 10, 257–290. [Google Scholar] [CrossRef]
  49. Barney, J.B. Organizational culture: Can it be a source of sustained competitive advantage? Acad. Manag. Rev. 1986, 11, 656–665. [Google Scholar] [CrossRef] [Green Version]
  50. Soleimani, F. Employee involvement is the prime organizational culture trait influencing balanced scorecard effectiveness in the Hospitals: Evidence from a correlation study. Int. J. Hosp. Res. 2012, 1, 117–120. [Google Scholar]
  51. Calantone, R.J.; Cavusgil, S.T.; Zhao, Y. Learning orientation, firm innovation capability, and firm performance. Ind. Mark. Manag. 2002, 31, 515–524. [Google Scholar] [CrossRef]
  52. Assiri, A.; Zairi, M.; Eid, R. How to profit from the balanced scorecard: An implementation roadmap. Ind. Manag. Data Syst. 2006, 106, 937–952. [Google Scholar] [CrossRef]
  53. Robbins, S.P.; Judge, T.A. Organizational Behavior, 15th ed.; Pearson: London, UK, 2010. [Google Scholar]
  54. Akgün, A.E.; Keskin, H.; Byrne, J.C. Procedural justice climate in new product development teams: Antecedents and consequences. J. Prod. Innov. Manag. 2010, 27, 1096–1111. [Google Scholar] [CrossRef]
  55. Peris-Ortiz, M.; García-Hurtado, D.; Devece, C. Influence of the balanced scorecard on the science and innovation performance of Latin American universities. Knowl. Manag. Res. Pract. 2019, 17, 373–383. [Google Scholar] [CrossRef]
  56. Hájek, P.; Stříteská, M.; Prokop, V. Integrating balanced scorecard and fuzzy TOPSIS for innovation performance evaluation. In Proceedings of the 22nd Pacific Asia Conference on Information Systems, Yokohama, Japan, 26 June 2018. [Google Scholar]
  57. Antoncic, B.; Hisrich, R.D. Intrapreneurship: Construct refinement and cross-cultural validation. J. Bus. Ventur. 2001, 16, 495–527. [Google Scholar] [CrossRef]
  58. Zahra, S.A.; Covin, J.G. Contextual influences on the corporate entrepreneurship-performance relationship: A longitudinal analysis. J. Bus. Ventur. 1995, 10, 43–58. [Google Scholar] [CrossRef]
  59. De Coning, T. Intrapreneurship—Another Bright Idea? People Dyn. 1992, 11, 10. [Google Scholar]
  60. Foba, T.W.; Villiers, D.D. The integration of intrapreneurship into a performance management model. SA J. Hum. Resour. Manag. 2007, 5, 1–8. [Google Scholar] [CrossRef] [Green Version]
  61. Mujtaba, B.G. The value of creating, maintaining and sustaining an entrepreneurial culture: An analysis of 3M’s strategic positioning. Int. J. Arts Sci. 2010, 3, 332–346. [Google Scholar]
  62. Grande, E.U.; Estébanez, R.P.; Colomina, C.M. The impact of Accounting Information Systems (AIS) on performance measures: Empirical evidence in Spanish SMEs. Int. J. Digit. Account. Res. 2011, 11, 25–43. [Google Scholar]
  63. Gallivan, M.; Srite, M. Information technology and culture: Identifying fragmentary and holistic perspectives of culture. Inf. Organ. 2005, 15, 295–338. [Google Scholar] [CrossRef]
  64. Nicolaou, A.I.; Bhattacharya, S. Organizational performance effects of ERP systems usage: The impact of post-implementation changes. Int. J. Account. Inf. Syst. 2006, 7, 18–35. [Google Scholar] [CrossRef]
  65. Ditkaew, N. The effect of accounting information system quality in the effectiveness of internal control and reliable decision making to enhance the performance of Thai industrial firms. J. Int. Bus. Econ. 2013, 13, 39–50. [Google Scholar] [CrossRef]
  66. Cameron, K.S.; Quinn, R.E. Diagnosing and Changing Organizational Culture; Addison; Wesley Publishing Company Inc.: Reading, WA, USA, 1999. [Google Scholar]
  67. Kurt, T. Örgüt Kültürünün Yenilikçilik (Inovasyon) Performansı Üzerindeki Etkileri: Kayseri Imalat Sektöründe Uygulama. Master’s Thesis, Sosyal Bilimler Enstitüsü, Erciyes Üniversitesi, Kayseri, Turkey, 2010. [Google Scholar]
  68. Karcıoğlu, F.; Timuroğlu, M.K. Örgüt kültürü ve liderlik. Atatürk Üniversitesi İktisadi Ve İdari Bilimler Derg. 2004, 18, 319–338. [Google Scholar]
  69. Janssen, O.; Van Yperen, N.W. Employees’ goal orientations, the quality of leader-member exchange, and the outcomes of job performance and job satisfaction. Acad. Manag. J. 2004, 47, 368–384. [Google Scholar]
  70. Zahra, S.A.; Garvis, D.M. International corporate entrepreneurship and firm performance: The moderating effect of international environmental hostility. J. Bus. Ventur. 2000, 15, 469–492. [Google Scholar] [CrossRef]
  71. Azulay, I.; Lerner, M.; Tishler, A. Converting military technology through corporate entrepreneurship. Res. Policy 2002, 31, 419–435. [Google Scholar] [CrossRef]
  72. Naktiyok, A.; Kök, S.B. Çevresel faktörlerin iç girişimcilik üzerine etkileri. Afyon Kocatepe Üniversitesi İktisadi Ve İdari Bilimler Fakültesi Derg. 2006, 8, 77–96. [Google Scholar]
  73. Zahra, S.A.; Neubaum, D.O.; Huse, M. Entrepreneurship in medium-size companies: Exploring the effects of ownership and governance systems. J. Manag. 2000, 26, 947–976. [Google Scholar] [CrossRef]
  74. Nicolaou, A.I. A contingency model of perceived effectiveness in accounting information systems: Organizational coordination and control effects. Int. J. Account. Inf. Syst. 2000, 1, 91–105. [Google Scholar] [CrossRef]
  75. Çidem, İ. Muhasebe Bilgi Sisteminin Etkinliği: Küçük ve Orta Ölçekli İşletmeler Üzerine Bir Araştırma. Master’s Thesis, Erciyes Üniversitesi Sosyal Bilimler Enstitüsü, Kayseri, Turkey, 2013. [Google Scholar]
  76. Grund, C.; Przemeck, J. Subjective performance appraisal and inequality aversion. Appl. Econ. 2012, 44, 2149–2155. [Google Scholar] [CrossRef] [Green Version]
  77. Cronbach, L.J. Coefficient alpha and the internal structure of tests. Psychometrika 1951, 16, 297–334. [Google Scholar] [CrossRef] [Green Version]
  78. Sürücü, L.; Maslakçı, A. Validity and reliability in quantitative research. Bus. Manag. Stud. 2020, 8, 2694–2726. [Google Scholar] [CrossRef]
  79. Hair, J.F.J.; Black, W.C.; Babin, B.J.; Anderson, R.E. Multivariate Data Analysis; Pearson: Vienna, Austria, 2010. [Google Scholar]
  80. Cui, F.; Lim, H.; Song, J. The Influence of Leadership Style in China SMEs on Enterprise Innovation Performance: The Mediating Roles of Organizational Learning. Sustainability 2022, 14, 3249. [Google Scholar] [CrossRef]
  81. Atan, T. Leadership, change, and wisdom. J. Bus. Adm. Educ. 2014, 5, 158–170. [Google Scholar]
  82. Kılıç, M.; Uludağ, O. The Effects of Transformational Leadership on Organizational Performance: Testing the Mediating Effects of Knowledge Management. Sustainability 2021, 13, 7981. [Google Scholar] [CrossRef]
  83. Bourne, M.; Mills, J.; Wilcox, M.; Neely, A.; Platts, K. Designing, implementing and updating performance measurement systems. Int. J. Oper. Prod. Manag. 2000, 20, 754–771. [Google Scholar] [CrossRef] [Green Version]
  84. Amir, E.; Lev, B. Value relevance of non-financial information: The wireless communications industry. J. Account. Econ. 1996, 22, 3–30. [Google Scholar] [CrossRef]
  85. Central Bank of the North Cyprus. Central Bank of the North Cyprus Quarterly Bulletin, ISSUE: June 2021/II; Central Bank of the North Cyprus: Nicosia, Cyprus, 2021. [Google Scholar]
  86. Sy, T.; Tram, S.; O’Hara, L.A. Relation of employee and manager emotional intelligence to job satisfaction and performance. J. Vocat. Behav. 2006, 68.3, 461–473. [Google Scholar] [CrossRef]
Figure 1. The research model is developed based on literature research to support the hypothesis.
Figure 1. The research model is developed based on literature research to support the hypothesis.
Sustainability 14 08595 g001
Table 1. Demographic breakdown of the respondent sample (n = 350).
Table 1. Demographic breakdown of the respondent sample (n = 350).
FrequencyPercent
Sex3501
Male1000.286
Female2500.714
Education3501
High School570.163
Bachelor’s Degree2640.754
Master’s Degree200.057
Doctoral Degree90.026
Age3501
18–30740.211
31–40620.177
41–501840.526
51 and above300.086
Tenure3501
0–51340.383
6–10860.246
11–15730.209
16–25370.106
26 and above200.057
Source: authors’ research.
Table 2. Reliability analysis results.
Table 2. Reliability analysis results.
ScalesNumber of QuestionsCronbach’s Alpha
Organizational culture240.703
Innovation performance100.750
Intrapreneurship180.846
Accounting information system effectiveness120.946
Performance scorecard200.964
-
Financial
50.807
-
Customer
50.945
-
Internal business
50.917
-
Innovation learning
50.905
Source: authors’ research.
Table 3. Descriptive statistics and correlations among constructs.
Table 3. Descriptive statistics and correlations among constructs.
VariableMeanSd.12345678
1. Organizational culture3.470.291
2. Innovation performance3.220.520.455 **1
3. Intrapreneurship3.410.460.469 **0.355 **1
4. AISE3.850.550.258 **0.120 **0.174 **1
5. Financial4.300.540.366 **0.297 **0.531 **0.310 **1
6. Customer4.180.8360.411 **0.299 **0.609 **0.192 **0.679 **1
7. Internal business4.020.7060.415 **0.286 **0.530 **0.339 **0.658 **0.787 **1
8. Innovation learning4.120.7380.406 **0.291 **0.583 **0.295 **0.671 **0.849 **0.935 **1
AISE: accounting information system effectiveness; ** p < 0.05; source: authors’ research.
Table 4. Hypotheses testing.
Table 4. Hypotheses testing.
Hip.PathΒSETSig.
H1Organizational culture → Performance scorecard0.2710.1032.6430.009
H1.1Organizational culture → Financial0.1450.1001.4490.148
H1.2Organizational culture → Customer0.3540.1382.5580.011
H1.3Organizational culture → Internal business0.3210.1222.6270.009
H1.4Organizational culture → LAD0.2640.1212.1780.030
H2Innovation performance → Performance scorecard0.0630.0531.1940.233
H2.1Innovation performance → Financial0.0880.0511.7020.090
H2.2Innovation performance → Customer0.0540.0710.7680.443
H2.3Innovation performance → Internal business0.0540.0630.8590.391
H2.4Innovation performance → LAD0.0550.0620.8870.376
H3Intrapreneurship → Performance scorecard0.6560.06010.9200.000
H3.1Intrapreneurship → Financial0.5040.0598.5720.000
H3.2Intrapreneurship → Customer0.8720.08110.7590.000
H3.3Intrapreneurship → Internal business0.5570.0727.7830.000
H3.4Intrapreneurship → LAD0.6910.0719.7290.000
H4AISE → Performance scorecard0.1230.0552.2250.027
H4.1AISE → Financial0.1630.0543.0170.003
H4.2AISE → Customer0.0050.0750.0630.950
H4.3AISE → Internal business0.1990.0663.0170.003
H4.4AISE → LAD0.1250.0651.9180.056
LAD: learning and development; AISE: accounting information system effectiveness. Source: authors’ research.
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Gazi, F.; Atan, T.; Kılıç, M. The Assessment of Internal Indicators on The Balanced Scorecard Measures of Sustainability. Sustainability 2022, 14, 8595. https://doi.org/10.3390/su14148595

AMA Style

Gazi F, Atan T, Kılıç M. The Assessment of Internal Indicators on The Balanced Scorecard Measures of Sustainability. Sustainability. 2022; 14(14):8595. https://doi.org/10.3390/su14148595

Chicago/Turabian Style

Gazi, Funda, Tarık Atan, and Mahmut Kılıç. 2022. "The Assessment of Internal Indicators on The Balanced Scorecard Measures of Sustainability" Sustainability 14, no. 14: 8595. https://doi.org/10.3390/su14148595

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop