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This research systematically reviewed studies on tax compliance based on five determinants consisting of tax services, trust in government, personal norm, social norm and religiosity.

The research used a vote-counting method to synthesize 279 studies consisting of 160 empirical studies and 119 non-empirical studies conducted from 1946 until 2017.

The research has made a relatively robust conclusion related to the impacts of determinant factors on tax compliance. Tax service and trust in government are the most critical factors to increase tax compliance. Personal norm, social norm and religiosity encourage tax compliance, yet the influence is not as strong as expected.

This research suggests that improving tax service and government trust are more effective and relatively easier to implement than developing the taxpayers' positive behaviors.

Several studies conducted to synthesize the impacts of determinant factors on tax compliance were only limited to the empirical research which provided sufficient statistical data. On the other hand, there were many substantial research types discussing tax compliance without involving statistical numbers. The facts have distorted the complete picture of tax compliance. Recently, no synthesis studies have comprehensively combined and compared the empirical with non-empirical research based on the related theories. Thus, the synthesis studies that discuss tax compliance based on non-deterrence approach are still limited.

Appreciating the limited empirical research in the knowledge management (KM) field, the purpose of this paper is to investigate the relationship between marketing knowledge management (MKM) and performance in Jordanian telecommunications organizations (JTOs).

A quantitative methodology is adopted in which a model is developed, and hypotheses are stated, in order to examine the proposed relationship between MKM assets and capabilities and JTOs' performance. A highly structured questionnaire is developed and distributed to a sample of 339 managers in JTOs. With a response rate of 92 percent, 312 questionnaires are returned; the number of valid and usable questionnaires is 292. Using exploratory and confirmatory factor analyses, MKM assets are classified into built‐ and invested‐in marketing assets, while MKM capabilities are classified into internal and external marketing capabilities. Furthermore, JTOs' performance is classified into three dimensions: market, customer, and financial performances. Structural equation modeling is utilised to test the stated hypotheses and model.

Empirical findings indicate that MKM assets and capabilities have a positive effect on the overall performance of JTOs, with all its dimensions. Built‐in marketing assets show the strongest influence on market performance, internal marketing capabilities show the strongest influence on customer performance, while external marketing capabilities show the strongest influence on financial performance. On the other hand and despite showing the least influence on financial and market performances, invested‐in marketing assets have maintained a positive relationship with all dimensions of JTOs' performance.

A holistic approach should be adopted when addressing MKM. MKM assets and capabilities should be applied collectively in a competitive manner that reflects on organizational performance. This requires constant consideration of available marketing assets and capabilities, with continuous investments in developing and acquiring marketing assets. While financial measures are generally used in assessing KM contribution, other non‐traditional measures should be applied in order to give a more realistic and holistic view of MKM contribution to organizational performance.

Focusing on MKM assets and capabilities, the paper introduces a new perspective of MKM in Jordan, as a developing country. While focusing on a special scope of KM, i.e. MKM, the paper provides further empirical support to the relationship between KM and organizations' multiple dimensions of performance. The fact that this is the first empirical study conducted in Jordan where KM research is relatively scarce, adds to its originality.

The purpose of this research is to examine an empirical model of marketing strategy and shareholder value through customer satisfaction and financial performance by using a value‐based marketing approach on organisations listed in Amman Stock Exchange Market operating in Jordan.

A quantitative methodology was employed through conducting two surveys targeting Jordanian organisations' marketing managers and their customers as well as utilising hard measures for financial performance and shareholder value data analysis. A total of 218 marketing managers were involved in the managers' survey and 1,200 customers were involved in the customers' satisfaction survey. A series of exploratory and confirmatory factor analyses were used to assess the research constructs dimensions, unidimensionality, validity and composite reliability. Structural path model analysis was also used to test the hypothesised research model.

The empirical results indicate that external and internal marketing orientations (IMOs) exerted a positive and significant effect on marketing strategy components, namely: product, price, promotion and distribution strategies. Marketing strategy components exerted a positive and significant effect on customer satisfaction. The findings also indicate that product and price strategies are the strongest drivers of customer satisfaction. Customer satisfaction has a positive and significant effect on financial performance. More importantly, financial performance has a strong positive contribution to shareholder value measured by market value added and earning per share.

This is the first empirical research paper that has investigated a model of marketing strategy and shareholder value through customer satisfaction and financial performance especially in developing countries, e.g. Jordan. This research offered executives and marketing directors empirical evidence on drivers of shareholder value maximisation and how to enhance marketing's strategic influence on strategic decisions which were not available to them before.

This paper aims to present an in‐depth review on the latest state of empirical research in transaction cost economics (TCE), focusing on single‐industry studies. The intensely discussed subject of operationalization of transaction costs is critically assessed, and a concept of how to increase the quality of findings in empirical studies is presented.

The sample was obtained by a literature research and review in high‐class media and submitted to in‐depth quantitative and qualitative analysis such as content analysis.

The findings are in part unexpected and substantially contribute to research: applicability of TCE to a broad range of industries is found, the majority being large industries with important markets. Most studies support TCE statements, some suggesting theory extension by complementary aspects. Operationalization of transaction costs remains a field requiring further research.

First, this article is condensed and therefore limited to single‐industry studies within TCE, understanding “industry” as a specialized field of activity. The question of industry boundaries may be a base for future research. Second, the subject of operationalization of transaction costs still requires further research.

Decision makers can continue to use TCE for various applications such as strategic alliance, vertical integration, governance choice, make‐or‐buy or contract choice questions. A shortcoming in most articles reviewed is the presentation of the industry's characteristics. Authors need to consider them in order to increase the qualitative level of single‐industry studies.

This paper provides significant insight into the field of single‐industry TCE studies. As a result of penetrating research in high‐class media and in‐depth analysis, the paper provides highly structured and intensely examined statements on existing literature and related findings, which support TCE statements and will lead current disputes in the literature to a further stage.

This paper aims to elaborate on the optimization of two particular cryptocurrency portfolios in a mean-variance framework. In general, cryptocurrencies can be classified to as coins and tokens where the first can be thought of as a medium of exchange and the latter accounts for security or utility tokens depending upon its design.

Against this backdrop, this empirical study distinguishes, in particular, between pure coin and token portfolios. Both portfolios are optimized by maximizing the Sharpe ratio and, subsequently, compared with alternative portfolio strategies.

The empirical findings demonstrate that the maximum utility portfolio of coins, with a risk aversion of λ = 10, outweighs alternative frameworks. The portfolios optimized by maximizing the Sharpe ratio for both coins and tokens indicate a rather poor performance. Testing the maximized utility for different levels of risk aversion confirms the findings of this empirical study and confers them more robustness.

Further investigation is strongly recommended as tokens represent a new phenomenon in the cryptocurrency universe, for which only a limited amount of data are available, which restricts the sampling. Furthermore, future study is to include more sophisticated optimization models using different constraints in portfolio creation.

In light of the persistently substantial volatility in cryptocurrency markets, the empirical findings assert that portfolio managers are advised to construct a global minimum variance portfolio. In the absence of sophisticated optimization models, private investors can invest according to the market values of cryptocurrencies. Despite minor differences in the risk and reward ratios of the portfolios tested, tokens tend to be more speculative, especially, if the Tether token is excluded, which may require enhanced supervision and investor protection by regulating authorities.

As the current literature investigates on diversification effects of blended cryptocurrency portfolios rather than making an explicit distinction, this paper reflects one of the first to explore the investability and role of diversifying coins and tokens using a classic Markowitz approach.

Shariah board (SB) is a unique corporate governancemechanism in Islamic financial institutions. Over the last decade, an increasing number of studies discusses the relationship between SB and Islamic banks' (IB) performance. These researches report conflicting findings due to the heterogeneity of their samples. Therefore,the purpose of this paper is to meta-analyze the results of the previous empirical studies to assess if the differences in findings were attributable to moderating effects related either to the system of SB or the used SB variables or the variables used to identify performance.

To examine the direct and moderating effects of SB attributes, this study uses a meta-analysis technique on a sample of 46 empirical studies, using Hunter and Schmidt’s approach followed by three exploratory moderator analyses: ROE, ROA and Tobin’ Q. Significant results are discussed.

Overall, the meta-analysis findings show that there is a positive significant association between SB meetings and qualifications and IBs’ performance. In testing the moderating effects of financial performance measurement during the post-subprime crisis period, the meta-analysis findings suggest that there is a positive significant association between SB characteristics (size, qualification, reputation, interlock and expertise) and performance. The meta-analysis findings stress the importance of several SB attributes in improving IBs’ performance, especially, during the economic recovery period.

This paper adds significance to the extant Islamic finance literature as well as assists the appropriate stakeholders in assessing the determinants of IBs’ performance from Shariah governance perspective. It further aims to reconcile the findings of the previous studies around the world. Moreover, the findings help future research to build a comprehensive Shariah governance index for IBs.

The purpose of this paper is to identify the risks and methods for their assessment in the case of maintenance activities in Sri Lanka. The main objectives were to identify the occupational risks in maintenance work and the risk assessment methods in place and their drawbacks in the Sri Lankan context.

The identification and assessment of risks were undertaken through a study of three fast-moving consumer products manufacturing organisations. The relevant data were collected through personal interviews and site visits.

Most typical risks associated with maintenance are cuts, slips and falls, with severe or fatal injuries as the result of negligence of SOP and failure to use the PPE. Checklists, brainstorming and decomposition techniques were identified as the preferred methods in maintenance for risk identification while a risk rating matrix is used for risk analysis. Lack of awareness and indifference towards risk assessment; make effective risk assessment very difficult. These drawbacks can be minimised by education, systematic training and enforcing rules, regulations and procedures for controlling risks.

Studies on maintenance worldwide have identified several maintenance-specific risks such as working at heights, the pressure of time, etc. However, there is a dearth of published research on risks and risk assessment methods in maintenance in Sri Lankan context. The findings highlighted the safety risks and risk assessment tools entailed in the maintenance operations of manufacturing organisations. The findings will be useful for those in maintenance operations in managing risks effectively through designing work environments that are risk-free.

In the last four years, since Volume I of this Bibliography first appeared, there has been an explosion of literature in all the main functional areas of business. This wealth of material poses problems for the researcher in management studies — and, of course, for the librarian: uncovering what has been written in any one area is not an easy task. This volume aims to help the librarian and the researcher overcome some of the immediate problems of identification of material. It is an annotated bibliography of management, drawing on the wide variety of literature produced by MCB University Press. Over the last four years, MCB University Press has produced an extensive range of books and serial publications covering most of the established and many of the developing areas of management. This volume, in conjunction with Volume I, provides a guide to all the material published so far.

This study applies asymmetric rather than conventional symmetric analysis to advance theory in occupational psychology. The study applies systematic case-based analyses to model complex relations among conditions (i.e., configurations of high and low scores for variables) in terms of set memberships of managers. The study uses Boolean algebra to identify configurations (i.e., recipes) reflecting complex conditions sufficient for the occurrence of outcomes of interest (e.g., high versus low financial job stress, job strain, and job satisfaction). The study applies complexity theory tenets to offer a nuanced perspective concerning the occurrence of contrarian cases – for example, in identifying different cases (e.g., managers) with high membership scores in a variable (e.g., core self-evaluation) who have low job satisfaction scores and when different cases with low membership scores in the same variable have high job satisfaction. In a large-scale empirical study of managers (n = 928) in four (contextual) segments of the farm industry in New Zealand, this study tests the fit and predictive validities of set membership configurations for simple and complex antecedent conditions that indicate high/low core self-evaluations, job stress, and high/low job satisfaction. The findings support the conclusion that complexity theory in combination with configural analysis offers useful insights for explaining nuances in the causes and outcomes to high stress as well as low stress among farm managers. Some findings support and some are contrary to symmetric relationship findings (i.e., highly significant correlations that support main effect hypotheses).

In recent years, the proliferation of social commerce (s-commerce) has attracted many researchers to investigate the drivers of individuals' intentions. However, the empirical results reported in these studies were fragmented and inconsistent. This has led various meta-analyses to synthesize these findings, but without including a large number of s-commerce studies. In addition, investigating meta-analytically the effects of moderators such as the six dimensions of Hofstede's national culture is still lacking.

Drawing on nine theories and models, this meta-analysis aims to summarize the findings reported in 109 s-commerce studies published between 2011 and 2021 and to examine the moderating role of national culture. The correlation coefficient (r) has been used as the main effect size for this study. Based on the random-effects method, the CMA V3 software has been employed to calculate the weighted mean effect sizes.

The meta-analysis results showed that all the 11 hypothesized direct relationships are positive and significant. The moderator results also revealed that five out of six cultural dimensions significantly moderate the examined associations.

This research serves to enrich the existing s-commerce literature by addressing contradictory and mixed results reported in the empirical studies. This study is one of the first of its kind to investigate the role of Hofstede's six cultural dimensions as moderators in the field of s-commerce using the meta-analytic techniques.