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The author approaches the discussion using a theoretical and historical reconstruction based on published and unpublished materials.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

Organizations increasingly manage innovation projects jointly with suppliers to use external resources to fill internal competencies. However, little is known about the practices of how companies configure internal and external resources to enhance competitiveness. Drawing on resource orchestration theory, this study aims to propose a novel approach to explain organizational performance using purchasing orchestration (PO) as an antecedent. The paper then tests an empirical model to assess the impact of PO practices on innovation and financial performance.

Cross-sectional survey data from 247 supply chain managers are used to test hypotheses relating PO to performance. SPSS PROCESS is applied to test conditional direct and indirect effects.

The positive impact of PO practices on innovation and financial performance is confirmed. Results indicate an organization’s entrepreneurial orientation (EO) can strengthen the positive relationship between PO and financial performance. Structuring, bundling and leveraging external resources are introduced as new organizational capabilities.

This research is based on cross-sectional data, and unidimensional constructs are used.

This research guides managers on the innovation process in light of the growing importance of external resources. The manuscript highlights the role of strategic purchasing in establishing new resource capabilities as a competitive advantage.

This research provides new insights into the relationship between purchasing practices and organizational performance and helps better understand the implications of orchestrating supply chain resources. A novel construct, PO, is introduced as a theoretical basis for studying supply chain-enabled innovation.

This study aims to present a research model to investigate the potential impact of human capital, structural capital and social capital on e-banking proactiveness. In addition, it reveals the potential impact of e-banking proactiveness on competitive intelligence and competitive agility. Also, it aims to explore the impact of competitive intelligence on competitive advantage and competitive agility. Finally, the impact of competitive agility on competitive advantage will be examined.

In order to gather data, a questionnaire was prepared and administered to 211 respondents in Jordan. The research model and hypotheses were then assessed using Structural Equation Modeling – Partial Least Squares (SEM-PLS).

The study demonstrated a significant impact of human capital, structural capital and social capital on e-banking proactiveness. The findings confirm that e-banking proactiveness significantly impacts competitive intelligence and achieving competition. Moreover, the findings confirm that competitive intelligence significantly impacts competitive agility. Also, the findings revealed a substantial relationship between competitive intelligence and competitive advantage. Finally, the results discovered that competitive agility significantly impacts competitive advantage.

The research gives valuable insights into the elements that drive e-banking proactiveness, which can beautify the proactiveness literature is well-known. By uncovering the position of intellectual capital in fostering proactiveness, this examination contributes to deeper information on the way financial institutions can successfully respond to market modifications, patron needs and technological advancements. Future scholars can build upon these findings to discover proactiveness in different sectors and industries, thereby broadening the understanding of proactive behaviors throughout numerous contexts.

This study aims to investigate tourists’ attitudes and intentions regarding the usage of Chat Generative Pre-trained Transformer (ChatGPT) for accessing tourism information. Furthermore, by integrating the perceived risks associated with ChatGPT and the theory of planned behavior (TPB), this research examines the impact of three types of perceived risks, such as privacy risk, accuracy risk and overreliance risk, on tourists’ behavioral intention.

Data were gathered for this study by using two online survey platforms, thus resulting in a sample of 536 respondents. The online survey questionnaire assessed tourists’ perceived risks, attitude, subjective norm, perceived behavioral control, behavioral intention and demographic information related to their usage of ChatGPT.

The structural equation modeling analysis revealed that tourists express concerns about the associated risks of using ChatGPT to search for tourism information, specifically privacy risk, accuracy risk and overreliance risk. It was found that perceived risks significantly influence tourists’ attitude and intention toward the usage of ChatGPT, which is consistent with the hypotheses proposed in previous literature regarding tourists’ perceived risks of ChatGPT.

This work is a preliminary empirical study that assesses tourists’ behavioral intention toward the use of ChatGPT in the field of tourism. Previous research has remained at the hypothetical level, speculating about the impact of ChatGPT on the tourism industry. This study investigates the behavioral intention of tourists who have used ChatGPT to search for travel information. Furthermore, this study provides evidence based on the outcome of this research and offers theoretical foundations for the sustainable development of generative AI in the tourism domain. This study has limitations in that it primarily focused on exploring the risks associated with ChatGPT and did not extensively investigate its range of benefits.

First, to address privacy concerns that pose significant challenges for chatbots various measures, such as data encryption, secure storage and obtaining user consent, are crucial. Second, despite concerns and uncertainties, the introduction of ChatGPT holds promising prospects for the tourism industry. By offering personalized recommendations and enhancing operational efficiency, ChatGPT has the potential to revolutionize travel experiences. Finally, recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises.

Recognizing the potential of ChatGPT in enhancing customer service and operational efficiency is crucial for tourism enterprises. As their interest in adopting ChatGPT grows, increased investments and resources will be dedicated to developing and implementing ChatGPT solutions. This enhancement may involve creating customized ChatGPT solutions and actively engaging in training and development programs to empower employees in effectively using ChatGPT’s capabilities. Such initiatives can contribute to improved customer service and overall operations within the tourism industry.

This study integrates TPB with perceived risks in ChatGPT, thus providing empirical evidence. It highlights the importance of considering perceived risks in tourists’ intentions and contributes to the sustainable development of generative AI in tourism. As such, it provides valuable insights for practitioners and policymakers.

本研究旨在调查游客对使用ChatGPT获取旅游信息的态度和意向。此外, 通过将与ChatGPT相关的感知风险与计划行为理论（TPB）相结合, 本研究探讨了三种感知风险（隐私风险、准确性风险和过度依赖风险）对游客行为意向的影响。

本研究通过两个在线调查平台收集了536名受访者的数据。在线调查问卷评估了游客对ChatGPT使用的感知风险、态度、主观规范、感知行为控制、行为意向以及与其使用ChatGPT相关的人口统计信息。

结构方程建模分析显示, 游客对使用ChatGPT搜索旅游信息的相关风险表示关切, 特别是隐私风险、准确性风险和过度依赖风险。发现感知风险显著影响游客对使用ChatGPT的态度和意向, 与先前有关游客对ChatGPT感知风险的文献中提出的假设一致。

本研究将TPB与ChatGPT中的感知风险相结合, 提供了实证证据。它强调了在考虑游客意向时考虑感知风险的重要性, 并为旅游中生成AI的可持续发展提供了贡献。因此, 它为从业者和政策制定者提供了宝贵的见解。

New Space activities offer benefits for human progress and life beyond the Earth. However, there is a risk that the New Space Economy may develop according to an anthropocentric mindset favouring human progress and survival at the expense of all other species and the environment. This mindset raises concerns over the social and environmental impacts of space activities and the accountability of space actors. This research article explores the accountability of space actors by presenting a pluralistic accountability framework to understand, inspire and change accountability in the New Space Economy. This study also identifies future research opportunities.

This paper is a reflective and normative essay. The arguments are developed using contemporary multidisciplinary academic literature, publicly available evidence and examples. Further, the authors use Dillard and Vinnari's accountability framework to examine a pluralistic accountability system for space businesses.

The New Space Economy requires public and private entities to embrace hybrid and pluralistic accountability for their social and environmental impacts. A new way of seeing the relationship between human life, the Earth and celestial space is needed. Accounting language is used to mirror and mobilise broader forms of responsibility in those involved in space.

This paper responds to the AAAJ's special issue call for examining how accountability can be ensured in the New Space Age. The space activities businesses conduct, and the anthropocentric view inspiring their race toward space is concerning. Hence, the authors advocate the need for rethinking accountability between humans and nature. The paper contributes to fostering the debate on social and environmental accounting and the accountability of space actors in the New Space Economy. To this end, the authors use a pluralistic accountability framework to help understand how the New Space Economy can face the risks emanating from its anthropocentric mindset.

The proliferation of information technology (IT) and IT-enabled devices has brought various challenges for modern organizations. These challenges are aggravated by the fact that the employees of different generations have a varying degree of expertise and ethical orientation regarding technology. This study has two primary objectives to have an in-depth understanding of technology-related ethical behavior of a diverse workforce. First, it aims to develop a valid and reliable scale to measure technology-oriented ethical behavior. Second, it investigates variations in technology-oriented ethical behavior among Generation X (pre-millennial), Generation Y (millennial) and Generation Z (post-millennial) using the scale.

The study is conducted in two steps. The first step, a techno-ethical scale, is developed with the help of the six steps of scale development proposed by Churchill (1979). These steps include exploratory factor analysis (EFA), confirmatory factor analysis (CFA), reliability analysis (composite reliability) and validity analysis (convergent and divergent validity). In the second step, intergenerational variation in different factors of technology-oriented ethical behavior among generation X, Y and Z employees is explored with the help of ANOVA and mean plots.

The study suggests a four-dimensional techno-ethical scale comprising fourteen statements. These four dimensions of the scale are the invasion of the right of privacy, defamation, self-enrichment and loafing during office hours. The scale is reported to have adequate reliability and validity estimates. Results also recommend statistically significant variations in all four dimensions of technology-oriented ethical behavior among pre-millennial, millennial and post-millennial. Also, except for self-enrichment, the mean values progressively increase from pre-millennial to post-millennial. Even for self-enrichment, the mean value is highest for post-millennial.

This study is one of the pioneer studies that explore ethical orientation towards technology usage of three generations of employees.

The different dimensions and contexts within which value is co-created has generated varied views of how value is understood or formed. This study aims to examine employee-guest perceived value as important factors for the successful implementation of value co-creation (VCC).

The study employs an interpretive paradigm, using in-depth interviews, focus group discussions and participant observation in a qualitative design to increase understanding of employee-guest perceived value to aid the implementation of VCC at the dyadic level.

Findings highlight eight value perceptions including value for money, hotel location, physical evidence, mutual respect, appreciation, safety & security, quality & varieties of food and technological characteristics of service as important factors for the successful implementation of VCC at the dyadic level.

Generalisability of the findings is a limitation not only due to the smaller sample size but also due to industry-specific context. The study follows rigorous procedures to minimise biases, yet research limitation is acknowledged from the researcher’s participation in the research process.

The notion that actor’s assess value differently from the same service suggests that diverse service elements might be experienced differently. This study provides insights for hotel managers to recognise not only individuals’ value preferences but also service types that reflect employee-guest collective service preferences for sustainability.

This study integrates and extends extant literature by examining employees’ and guests’ individual and collective views at distinct hotel contexts to gain useful insights into value and VCC. The study proposes a framework that hospitality firms can use to address service failure and competition-related issues.

This article explores the tension between the concept of a Designated Community (DC) as a foundational element in Trustworthy Digital Repository (TDR) certification and curators' uncertainty about how to interpret and apply this concept in practice.

This research employs a qualitative research design involving in-depth semi-structured interviews with stakeholders in the Trustworthy Digital Repository Audit and Certification (TRAC) process.

The authors' findings indicate that stakeholders in the audit and certification process viewed their uncertainty about how to apply the concept of a DC in the context of an audit as a source of risk for digital repositories and the repositories' collections.

This article brings new insights to digital preservation by applying social theories of risk to trustworthy digital repository audit and certification processes, with an emphasis on the concept of DC.

The study provides a comprehensive understanding of the issues and illegal activities related to cryptocurrencies and their negative repercussions. This study aims to identify and classify cryptocurrency downsides using grounded theory and in-depth interviews. The study also analysed investors’ reluctance to invest in cryptocurrency. This pioneering qualitative study illuminates a deep and multifaceted criminal aspect of cryptocurrency.

The study conducted in-depth interviews with respondents who have experience and knowledge of cryptocurrency investments. The interviews were recorded and transcribed. The analysis was performed using the NVivo 14 software in the study.

The study specified two major types of cryptocurrency’s negative aspects: barriers and illegal usage. Barriers to cryptocurrency investment include technological, security, trust, market-related and regulatory reasons. Terrorist funding, money laundering, fraud and ransom payments are all examples of illegal usage. The results of the word cloud analysis are consistent with the overall findings of the survey, which highlighted illegal usage as a prominent negative element of cryptocurrencies. It is a key reason why cryptocurrency is not included in investing portfolios by investors.

The study’s findings provide useful insights for policymakers to develop better methods for successfully mitigating risks and ensuring responsible and sustainable usage of cryptocurrencies. In addition, the study could serve as a stepping stone for more cryptocurrency-related studies, contributing to the development of a more complete and nuanced comprehension of this emergent technology and its societal effects.

The globalisation of supply chains has contributed to modern slavery by degrading labour standards and work practices. The inherent difficulties involved in monitoring extremely fragmented production processes also render workers in and from developing countries vulnerable to labour exploitation. This research adopts a benchmark methodology that will help examine the inherent modern slavery challenges.

This study examines how the benchmark model, including governance, risk assessment, purchasing practice, recruitment and remedy of victims, addresses supply chain modern slavery challenges. The proposed hypotheses are tested based on the reoccurring issues of modern slavery in global supply chains.

Estimations suggest that modern slavery is a growing and increasingly prominent international problem, indicating that it is the second largest and fastest growing criminal enterprise worldwide except for narcotics trafficking. These social issues in global supply chains have drawn attention to the importance of verifying, monitoring and mapping supply chains, especially in lengthy and complex supply chains. However, the advent of digital technologies and benchmarking methodologies has become one of the existing key performance indicators (KPIs) for measuring the effectiveness of modern slavery initiatives in supply chains.

This review provides an understanding of the current situation of global supply chains concerning the growing social issue of modern slavery. However, this includes various individual specialities relating to global supply chains, modern slavery, socially sustainable supply chain management (SCM), logistic social responsibility, corporate social responsibility and digitalisation. Furthermore, the review provided important implications for researchers examining the activities on benchmarking the effectiveness of the existing initiatives to prevent modern slavery in the supply chains.