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This paper gives a model of collusion formation and a method of measuring the degree of it among the traders/bidders in the agricultural commodity markets in India. The important assumption is that the bidding is repetitive with a set of common bidders. The theory has been derived based on the behavior of the wholesale market of agricultural commodities in India. The paper is based on full information in the collusion formation. The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

The paper used the standard theory of optimization and the theory of auction and probability statistics.

This is a complete information model of cartel formation. The bidding is repetitive and continues forever in discrete time. Hence bidders behavior is observable. Using the proposed method, if the APMC measures for each market and publishes on a periodic basis, say weekly basis, then it will be easier to break the collusion in the market where relative collision is present. For example, if a farmer has three options to sell in three different markets, then the published data would help them to select the market where the degree of collusion is relatively lower. Moreover, the undesirable loss can be avoided based on the right choice of market. As a result, transaction costs will be optima.

The paper first derives the theoretical structure of the bidders' behavior and thereafter derives a measure of collusion formation with the help of real-life data.

Cyber-attacks that generate technical disruptions in organisational operations and damage the reputation of organisations have become all too common in the contemporary organisation. This paper explores the reputation repair strategies undertaken by organisations in the event of becoming victims of cyber-attacks.

For developing the authors’ contribution in the context of the Internet service providers' industry, the authors draw on a qualitative case study of TalkTalk, a British telecommunications company providing business to business (B2B) and business to customer (B2C) Internet services, which was a victim of a “significant and sustained” cyber-attack in October 2015. Data for the enquiry is sourced from publicly available archival documents such as newspaper articles, press releases, podcasts and parliamentary hearings on the TalkTalk cyber-attack.

The findings suggest a dynamic interplay of technical and rhetorical responses in dealing with cyber-attacks. This plays out in the form of marshalling communication and mortification techniques, bolstering image and riding on leader reputation, which serially combine to strategically orchestrate reputational repair and stigma erasure in the event of a cyber-attack.

Analysing a prototypical case of an organisation in dire straits following a cyber-attack, the paper provides a systematic characterisation of the setting-in-motion of strategic responses to manage, revamp and ameliorate damaged reputation during cyber-attacks, which tend to negatively shape the evaluative perceptions of the organisation's salient audience.

Due to the financial disturbances created by the COVID-19 pandemic and the burden on the government exchequer, it is expected to see a rise in the knowledge base of the research corpus so far as the government's fiscal sustainability is concerned. Therefore, the present research examines a systematic quantitative analysis of public debt sustainability research by applying a bibliometric approach. Research also analyzes journals, institutions, countries and authors contributing to public debt sustainability.

This paper scrutinizes the published scientific research on public debt sustainability based on the dataset of 535 articles from 1991 to 2021 obtained from the Scopus database. Biblioshiny (R-based application) and VoSviewer software were used to perform bibliometric analysis through Performance analysis and science mapping techniques. The authors combined co-citation analysis (CCA), bibliometric analysis, keyword co-occurrence analysis (KCA) and a conceptual thematic map of the most cited articles to find the intellectual structure.

The research identified three dominating clusters, e.g. fiscal sustainability and policy rules, empirical sustainability testing and debt and growth dynamics. Another finding was that most articles were analytical and empirical and few descriptive articles were found. Owing to the empirical nature of the domain, the issues concerning public debt sustainability have continued to change over the past decades for different economies, reflecting the complexity and diversity of economic structures of different economies at different times.

The insight of this article provides academicians and researchers with a more refined comprehension of the conceptual and intellectual structure of the research corpus. The present research complements the existing literature review studies by pushing the research towards emerging or less developed issues such as financial and debt crises.

This study aims to examine hotel guests’ acceptance of technology agency – the extent to which they would let artificial intelligence (AI)-based systems make decisions for them when staying in hotels. The examination was conducted through the prism of several antecedents of acceptance of technology agency, including perceived ethics, benefits, risks and convenience orientation.

A thorough literature review provided the foundation of the structural model, which was tested using confirmatory factor analysis, followed by structural equation modeling. Data were collected from 400 US hotel guests.

The most important determinant of acceptance of technology agency was perceived ethics, followed by benefits. Risks of using AI-based systems to make decisions for consumers had a negative impact on acceptance of technology agency. In addition, perceived loss of competence and unpredictability had relatively strong impacts on risks.

The results provide a conceptual foundation for research on systems that make decisions for consumers. As AI is increasingly incorporated in the business models of hotel companies to make decisions, ensuring that the decisions are perceived as ethical and beneficial for consumers is critical to increase the utilization of such systems.

Most research on AI in hospitality is either conceptual or focuses on consumers’ intentions to stay in hotels that may be equipped with AI technologies. Occupying a unique position within the literature, this study discusses the first time AI-based systems that make decisions for consumers. The value of this study stems from the examination of the main concept of technology agency, which was never examined in hospitality.

Significant funding has been made available in the UK for social, behavioural and design research that aims to improve health and wellbeing for older adults. The growing importance and use of participatory and co-creative approaches in this field not only reflects a general turn in social research but also seeks to redress power imbalances between researchers and researched. This paper aims to use Miranda Fricker’s concept of “epistemic injustice” as a lens to describe the author’s experience with one such project, and highlight the cautions and considerations that must be made when navigating, handling and amalgamating “other people’s knowledge”.

Personal and theoretical reflection. Primary data for this paper consists of first-hand insider observations on how different forms of knowledge were treated in an interdisciplinary, intersectoral participatory research context.

Some participatory studies are hampered by insufficient consideration for a range of ways of thinking, including between researchers and participants, younger and older adults, different academic disciplines or academia and industry. This can harm project integrity and outcomes, potentially eroding trust in academic research.

By reflecting on a recent participatory study in healthy ageing, this paper outlines a theoretical basis to increase the benefits of working with different stakeholders across health and care, design, business and academia. It concludes by suggesting ways that researchers might address epistemic injustice, and so recognise and properly value the range of knowledge types encountered in participatory research.

The purpose of this paper is to examine the corporate social responsibility performance among small and medium enterprise (SME) owners in the United Arab Emirates (UAE) before and during COVID-19. This study shows insights into the barriers that could affect the CSR performance practices of UAE SMEs, and related implications are discussed in the study.

This study used a longitudinal qualitative research design. The research comprised 30 interviews from 15 SME owners that were studied prior to and during the pandemic. The 15 interview participants are the sole owners of these SMEs and are Emirati citizens. They were identified through personal contacts and referrals.

Study findings show that there was a clear shift during the pandemic to place more focus on employees. CSR performance practices are dominated by strategies for caring for the environment and employees. During the pandemic, the priority was paying employees at least a portion of their salary despite financial hardships and ensuring their health and well-being. Prior to the crisis, the key barrier to the implementation of CSR performance practices was a lack of knowledge. During the pandemic, barriers identified included uncertainty and financial constraints. Furthermore, all the owners believe that big corporations should be more socially responsible and SMEs should be the recipients of CSR practices. Lastly, the owners expressed their belief in the values of transparency, integrity, commitment, efficiency and responsibility.

This study is a novel attempt to gain an in-depth understanding of CSR among SMEs in the UAE in the context of a pandemic. It looks specifically at the performance practices pursued by SME owners in the UAE before and during the COVID-19 crisis.

This paper aims to report on the results of a global search to identify the characteristics of successful sexual offender treatment programs, with a view to providing guidance for program development.

A keyword search was conducted of criminology and social science databases. Successful programs were selected on evaluations that used standard scientific designs.

This study identified 18 evaluations of 16 programs showing significant reductions in reconvictions. Most programs used cognitive behavioural therapy (CBT), with both group and individual sessions; and many evidenced multisystemic therapy (MST) approaches involving families and/or local communities. CBT-based approaches were also common in the 20 unsuccessful programs identified in the study, although fewer MST-oriented features were in evidence. Noncustodial settings, and combined custodial-noncustodial settings, were also more prominent in the successful programs.

There is a shortage of studies focused on the specific components of successful treatment programs for sexual offenders, including for subsets of offenders, such as ethnic minority groups and women.

The findings demonstrate the need for more investment in treatment programs with strict evaluation processes. New and modified programs are likely to benefit from the application of CBT, MST and a community-based reintegration component. More research is needed on effective elements of sexual offender treatment programs.

To the best of the authors’ knowledge, this appears to be the first study that examines features of successful sexual offender treatment programs, compared to unsuccessful programs, using a case-study approach. The findings reinforce the known value of CBT and systemic approaches as core features of programs but raise important questions about what other components are key to activating success.

The emergence of internet-based business models has given rise to online higher education institutions (OHEIs) that offer their undergraduate and graduate degree programs exclusively online with minimal physical presence. Research on OHEIs discusses the need for external legitimacy and resource acquisition, often ignoring the role of quality among these institutions. Hence, this study aims to investigate the role of digital quality of education on OHEIs’ survival.

Guided by four different inter-disciplinary theories, a conceptual framework is offered based on a comprehensive literature review.

The role of digital quality of education in improving the survival and strategic competitiveness of institutions in the US online higher education industry is highlighted.

This conceptual paper highlights how the digital quality of education becomes increasingly important over the life cycle of OHEIs.

The proposed framework suggests that despite the competition provided by traditional and well-entrenched players, OHEIs can improve their survival and competitiveness if they invest strategically in the digital quality of education.

This study offers an overarching conceptual framework developed through an integration of multiple theoretical perspectives and grounded in the US online higher education industry.

Much prior work involving director incentives and corporate behaviour has been focussing on their absolute dollar value or the intrinsic value and generated mixed findings. Comparison theories, however, suggest that the relative value of an incentive may be the main drive for individual performance. This study attempts to investigate the role of director relative pay in promoting the board’s intervention with unrelated diversification decisions.

The analysis uses data from firms operating in more than one segment during the period from 1999 to 2019. Data were obtained from WRDS databases. Ordinary least squares (OLS) regression analysis and the two-stage system generalized method of moments (GMM) were run to test the hypotheses. To test the robustness of the findings, alternative proxies for the key independent variables were used in separate analyses.

The results support the hypothesis that unrelated diversification negatively impact firm performance, while higher director relative pay will help reduce unrelated business diversification. The absolute director pay, however, has no significant impact on corporate strategic choices. The results also highlight the moderating effect of director overcompensation. Director overcompensation will cancel out the impact of relative director pay on unrelated diversification.

This study takes a fresh theoretical perspective by framing the investigation using the dimensional comparison theory to address the single untended comparison framework in the director pay structure – the intra-individual framework. It is the first to investigate the role of director relative pay in corporate strategic choices. The findings support the contention that the relative value of the incentive is an important indicator of the effectiveness of the pay.

The study aims to determine the outcomes of mentorship in an online game system, as well as the characteristics of good mentors.

A combination of anonymized survey measures and in-game behavioral measures were used to power longitudinal analysis over an 11-month period in which protégés and non-mentored new players could be compared for their performance, social connections and retention.

Successful people were more likely to mentor others, and mentors increased protégés' skill. Protégés had significantly better retention, were more active and much more successful as players than non-protégés. Contrary to expectations, younger, less wealthy and educated people were more likely to be mentors and mentors did not transfer their longevity. Many of the qualities of the mentor remain largely irrelevant—what mattered most was the time spent together.

This is a study of an online game, which has unknown generalizability to other games and to offline settings.

The results show that getting mentors to spend dedicated time with protégés matters more than their characteristics.

Good mentorship does not require age or resources to provide real benefits.

This is the first study of mentorship to use survey and objective outcome measures together, over time, online.