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The paper provides a detailed historical account of Douglass C. North's early intellectual contributions and analytical developments in pursuing a Grand Theory for why some countries are rich and others poor.

The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.

The systematic, continuous and profound attempt to answer the Smithian social coordination problem shaped North's journey from being a young serious Marxist to becoming one of the founders of New Institutional Economics. In the process, he was converted in the early 1950s into a rigid neoclassical economist, being one of the leaders in promoting New Economic History. The success of the cliometric revolution exposed the frailties of the movement itself, namely, the limitations of neoclassical economic theory to explain economic growth and social change. Incorporating transaction costs, the institutional framework in which property rights and contracts are measured, defined and enforced assumes a prominent role in explaining economic performance.

In the early 1970s, North adopted a naive theory of institutions and property rights still grounded in neoclassical assumptions. Institutional and organizational analysis is modeled as a social maximizing efficient equilibrium outcome. However, the increasing tension between the neoclassical theoretical apparatus and its failure to account for contrasting political and institutional structures, diverging economic paths and social change propelled the modification of its assumptions and progressive conceptual innovation. In the later 1970s and early 1980s, North abandoned the efficiency view and gradually became more critical of the objective rationality postulate. In this intellectual movement, North's avant-garde research program contributed significantly to the creation of New Institutional Economics.

This study aims to examine the effect of ownership concentration and foreign ownership on tunneling activities in Indonesia.

The population in this study were manufacturing companies listed on the Indonesian Stock Exchange from 2014 to 2018. The total observations used in this study were 557 observations. This study used three measurements to assess tunneling activities in a company, namely, related party receivables (TUL1), related party payables (TUL2) and related party receivables-payables (TUL3).

The results of this study indicated that ownership concentration and foreign ownership had a negative effect on tunneling activity of TUL1. Meanwhile, the effect of ownership concentration and foreign ownership on TUL2 and TUL3 showed a positive effect. This indicated that manufacturing companies in Indonesia preferred to carry out tunneling activities through related party payables compared with related party receivables. Foreign ownership was also effective in controlling the company’s tunneling activities when the company conducted tunneling transactions of related party receivables. Small companies and companies with positive return on assets were more susceptible to tunneling activities carried out by the companies.

The results of this study can be used as a consideration for investors in making decisions by looking at tunneling activities carried out by companies in Indonesia.

To the best of the authors’ knowledge, no previous study in the tunneling literature has compared the results of the effect of the concentration of foreign ownership and ownership on tunneling using three measurements at once. This is useful to see the company’s behavior of tunneling activities from a different perspective.

Large supermarket chains are adopting customer-service robots to improve service delivery in physical stores. Successful deployment of these robots depends on shoppers' willingness to interact with them, requiring an understanding of influencing factors. This study, grounded in the Cognitive-Affective-Normative (CAN) theory, seeks to systematically explore the factors influencing Gen Z shoppers' willingness to interact with customer-service robots.

A hybrid approach combining Structural Equation Modeling (SEM) and Necessary Condition Analysis (NCA) was employed to analyze survey data collected from 945 Gen Zs in the Czech Republic.

The results from SEM highlight significant cognitive, normative, and affective factors that influence the intention of Gen Z shoppers to interact with a customer-service robot. Specifically, cognitive factors such as effort and performance expectancy, along with normative factors like subjective norms, emerged as critical determinants. Furthermore, affective factors such as technology anxiety and positive emotions significantly influence users' readiness to use customer-service robots for service requests. The study also underscores that positive emotions, effort expectancy, performance expectancy, and subjective norms are vital prerequisites for interacting with customer-service robots.

The originality of this work lies in its two significant contributions to the burgeoning field of SRs in retail literature. First, it extends the CAN theory to the context of SRs among Gen Z shoppers in Czechia, thereby enriching the existing literature on SRs in retail. Second, by employing a hybrid analytical approach, our research offers both empirical and methodological advancements, providing rigorous insights crucial for enhancing the understanding of the pivotal factors influencing shoppers' interactions with SRs in physical store environments.

With the advent of the COVID-19 and increased access to Internet technologies, students tend to use e-learning technologies for improved academic results, and since then, improving student engagement in a virtual space became a difficult task for educational institutions globally. The present study aims to examine the effect of key e-learning factors (i.e. perception, hedonic motivation (HM), usefulness, empowerment and attitude) on student engagement among open and distance learners (ODLs) of the central region of India.

Simple random sampling was applied to collect data from ODLs of Chhattisgarh. ODLs who are using e-learning platforms for at least one year were chosen to be the participant in the study. The authors collected 1,137 responses using both online and offline modes of collection.

The test results indicated that usefulness, HM and attitude factors were found to have a significant relationship with student engagement in e-learning, while perception and empowerment variables did not contribute to the engagement of students.

The present study is novel in its approach. It clarifies the key factors to student engagement which might increase the students' level of involvement in e-learning technologies, if these factors are addressed tactfully by the educational institutions or concerned administration.

The business intelligence (BI) research witnessed a proliferation of contributions during the past three decades, yet the knowledge about the interdependencies between the BI process and organizational context is scant. This has resulted in a proliferation of fragmented literature duplicating identical endeavors. Although such pluralism expands the understanding of the idiosyncrasies of BI conceptualizations, attributes and characteristics, it cannot cumulate existing contributions to better advance the BI body of knowledge. In response, this study aims to provide an integrative framework that integrates the interrelationships across the BI process and its organizational context and outlines the covered research areas and the underexplored ones.

This paper reviews 120 articles spanning the course of 35 years of research on BI process, antecedents and outcomes published in top tier ABS ranked journals.

Building on a process framework, this review identifies major patterns and contradictions across eight dimensions, namely, environmental antecedents; organizational antecedents; managerial and individual antecedents; BI process; strategic outcomes; firm performance outcomes; decision-making; and organizational intelligence. Finally, the review pinpoints to gaps in linkages across the BI process, its antecedents and outcomes for future researchers to build upon.

This review carries some implications for practitioners and particularly the role they ought to play should they seek actionable intelligence as an outcome of the BI process. Across the studies this review examined, managerial reluctance to open their intelligence practices to close examination was omnipresent. Although their apathy is understandable, due to their frustration regarding the lack of measurability of intelligence constructs, managers manifestly share a significant amount of responsibility in turning out explorative and descriptive studies partly due to their defensive managerial participation. Interestingly, managers would rather keep an ineffective BI unit confidential than open it for assessment in fear of competition or bad publicity. Therefore, this review highlights the value open participation of managers in longitudinal studies could bring to the BI research and by extent the new open intelligence culture across their organizations where knowledge is overt, intelligence is participative, not selective and where double loop learning alongside scholars is continuous. Their commitment to open participation and longitudinal studies will help generate new research that better integrates the BI process within its context and fosters new measures for intelligence performance.

This study provides an integrative framework that integrates the interrelationships across the BI process and its organizational context and outlines the covered research areas and the underexplored ones. By so doing, the developed framework sets the ground for scholars to further develop insights within each dimension and across their interrelationships.

This research aims to examine the impact of RPTs and board of directors' characteristics on the market value of Indian listed banks. Further, this study evaluates the moderation effect of board composition on the association between RPTs banks’ market value.

The sample size consists of 38 banks listed on Bombay stock exchange. The current study is based on secondary data for ten years from 2010 to 2019. Generalized Method of Moment (GMM) was used for estimating the results.

Subsidiary transactions, board of directors' size, composition, diligence, promoters, remuneration and banks' size and leverage have a significant impact on the market value of Indian listed banks. Further, board of directors' composition positively moderates the association between RPTs and banks value measured by Tobin's. Furthermore, corporate governance characteristics have a significant impact on RPTs measured by total RPTs and all subsidiary transactions.

This research is limited only to listed banks whose data are available in the ProwessIQ database, which makes it difficult to generalize the findings on other unlisted banks. This research helps policymakers, investors and creditors to categorize RPTs into different groups to identify the harmful and beneficial once to the bank. The findings suggest that policymakers, investors and creditors should not consider all key personal transactions as harmful transactions; instead, the policymakers, investors and creditors should consider all subsidiary transactions as harmful in the absence of independent directors.

The present study contributes to the existing literature on RPTs by evaluating the interaction effect of board composition on the association between related party transactions and banks' value. Further, this research focuses on the financing industry; Indian banks, which has not been sufficiently researched in comparison to the non-financing industries.

The purpose of this paper is to review and compare the implementation of “arts inclusion” policies (AIPs) by 14 different public administrative systems around the world. It aims to provide a consolidated source which informs further studies in this field, and to develop a framework to compare AIPs at a global level.

Using “arts inclusion policy” as the search term, academic journals from a wide spectrum of fields were reviewed. A data set was extracted from the Compendium of Cultural Policies and Trends’ online database which provided real-time information of national cultural policies. Another data set is from the United Nations’ Inequality-adjusted Human Development Index, as the geographic scope of the review – largely focussing on UK, US, Australian, Scandinavian and Asian contexts. Using existing policy-making literature as benchmark, the authors designed and applied a comparative framework dedicated to AIPs which focussed on “policy-making structures” as the main ground of comparison.

An important finding is that the policy development and implementation of AIPs often underscore inter-sectoral involvement in many public administrations in this study. With policy leadership and financial incentives pivotal to effective AIPs, central governments should take a more concerted leadership role to include AIPs in national inter-sectoral policies, encourage evidence-based research, expand funding and advocate the recognition of the impacts of arts inclusion. It is concluded that AIPs in western countries remain more developed in targeted scopes and programme diversity compared to those of Asian countries and regions. Continued studies in this field are encouraged.

This review is the first of its kind to include a number of Asian and western countries within its research scope, allowing it to offer a more holistic outlook on the development and implementation of AIPs in different countries and regions. A common critique with all relevant existing literature was usually their lack of concrete comparative grounds, and the present study’s all-encompassing review of literature from across different levels and sectors of respective public administrative systems contribute to a unique and comprehensive perspective in the arts and health discourse.

The cyber insurance market in Germany shows a notable gap: while many large corporations are already demanding cyber insurance, small and medium-sized enterprises (SMEs) are still reluctant, despite its benefits. This study aims to analyze the behavioral and informational factors that influence cyber insurance decision-making and uncover the determinants that may inhibit demand among German SMEs.

Using the data from a questionnaire survey of 1,248 German SME executives, the influence of behavioral and informational factors on cyber insurance demand is assessed utilizing logistic regression.

The results reveal that the estimated financial impact and anxiety about a potential cyberattack significantly increase the likelihood of SMEs purchasing cyber insurance. Conversely, the perceived probability of future cyberattacks and prior experience do not significantly influence insurance decisions, probably due to challenges in probability estimation. In addition, confidence in the organization’s cyber risk management has a positive but insignificant influence on cyber insurance demand. External cybersecurity specialists positively impact cyber insurance demand, while internal cyber risk assessment has no significant influence, highlighting the challenges SMEs face in cyber risk assessment. Independent Internet research negatively impacts the purchase of cyber insurance, probably due to information overload.

This study significantly contributes to the literature on corporate (cyber) insurance purchasing by primarily focusing on behavioral influences on SMEs’ insurance decision-making. It is also the first empirical analysis of the key information sources used by SMEs in their insurance decision-making, thereby providing various academic and practical implications.

This paper aims to explore the current stage of biodiversity preservation in higher education institutions (HEIs), using samples from German universities and investigating three different dimensions, namely, existing approaches, challenges and future developments.

Semistructured expert interviews were conducted with employees from 14 German Universities. To analyze the data, both deductive and inductive methods of content analysis were conducted to systematically code the results.

This research shows that efforts for biodiversity preservation are frequently made in the areas of student and staff initiatives, green space management, as well as in research and teaching. However, German HEIs face numerous hurdles such as interest conflict, lack of prioritization and financial restrictions, some of which are difficult to overcome. In the future, HEIs should seek a deeper integration of biodiversity into curricula to further raise biodiversity awareness.

This study provides practical implications by providing good practices, which can serve as a guide for implementing measures for biodiversity preservation. By understanding the struggles and future expectations, stakeholders and policymakers could promote targeted measures and relevant policies to advance biodiversity initiatives at and beyond universities. Moreover, the research shows the importance of involving students and staff actively in the planning and executing stage for biodiversity preservation through initiatives to achieve green campuses.

The paper presents an essential research field which is still in its earlier stage. To the best of the authors’ knowledge, it is the first study that focuses on German Universities in this context. This study adds value in providing in-depth insights into this topic to raise awareness of biodiversity preservation in both practice and research.

Vision, audition, olfactory, tactile and taste are five important senses that human uses to interact with the real world. As facing more and more complex environments, a sensing system is essential for intelligent robots with various types of sensors. To mimic human-like abilities, sensors similar to human perception capabilities are indispensable. However, most research only concentrated on analyzing literature on single-modal sensors and their robotics application.

This study presents a systematic review of five bioinspired senses, especially considering a brief introduction of multimodal sensing applications and predicting current trends and future directions of this field, which may have continuous enlightenments.

This review shows that bioinspired sensors can enable robots to better understand the environment, and multiple sensor combinations can support the robot’s ability to behave intelligently.

The review starts with a brief survey of the biological sensing mechanisms of the five senses, which are followed by their bioinspired electronic counterparts. Their applications in the robots are then reviewed as another emphasis, covering the main application scopes of localization and navigation, objection identification, dexterous manipulation, compliant interaction and so on. Finally, the trends, difficulties and challenges of this research were discussed to help guide future research on intelligent robot sensors.