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This study aims to recognize the role of information system (IS) model on young adults’ experience of housing and real estate chatbots. This model of IS takes into account the quality of information, the quality of system and the quality of service.

This study uses a sample frame for analysis which comprises young adult population in India, i.e. between the ages of 18 and 35. A questionnaire consisting of five components was used to collect information in a structured manner. The 386 responses thus collected were analysed using the structural equation model.

It was found that there is a significant influence of the quality of information, quality of system and quality of service on young adults’ experience of housing and real estate chatbots. The findings also showed that there is moderation role of effort expectancy between the quality parameters and young adults’ user experience of housing and real estate chatbots.

This study focusses exclusively on the young adults from various parts of India. Future research can consider larger population categories across age groups and across sectors employing chatbots.

This study will enable in-depth understanding of IS model – quality dimensions’ relation with the user experience. In particular, housing and real estate organisations will profit from the expanded usage of artificial intelligence through chatbots for user correspondence and communication.

To the best of the authors’ knowledge, this study is first of its kind, as it investigates how IS model – quality dimensions affect the young adults’ experience of housing and real estate chatbots in India. This study also ventures into identifying the moderation role of effort expectancy between the quality dimensions as per IS model and young adults’ experience of housing and real estate chatbots. This study will be useful for the stakeholders of housing and real estate industry.

Climate change poses risks to society and the demand for carbon literacy within small and medium-sized enterprises is increasing. Skills and knowledge are required for organizational greenhouse gas accounting and science-based decisions to help businesses reduce transitional risks. At the University of Copenhagen and the University of Northern British Columbia, two carbon management courses have been developed to respond to this growing need. Using an action-based co-learning model, students and business are paired to quantify and report emissions and develop climate plans and communication strategies.

This paper draws on surveys of businesses that have partnered with the co-learning model, designed to provide insight on carbon reductions and the impacts of co-learning. Data collected from 12 respondents in Denmark and 19 respondents in Canada allow for cross-institutional and international comparison in a Global North context.

Results show that while co-learning for carbon literacy is welcomed, companies identify limitations: time and resources; solution feasibility; governance and reporting structures; and communication methods. Findings reveal a need for extension, both forwards and backwards in time, indicating that the collaborations need to be lengthened and/or intensified. Balancing academic requirements detracts from usability for businesses, and while municipal and national policy and emission targets help generate a general societal understanding of the issue, there is no concrete guidance on how businesses can implement operational changes based on inventory results.

The research brings new knowledge to the field of transitional climate risks and does so with a focus on both small businesses and universities as important co-learning actors in low-carbon transitions. The comparison across geographies and institutions contributes an international solution perspective to climate change mitigation and adaptation strategies.

There are significant challenges facing academics and senior leaders in higher education (HE) institutions internationally. These challenges have led to increasing levels of metrification and managerialism, which has fostered work intensification, reduced professional autonomy, stress and burnout amongst faculty staff. Traditional approaches for supporting and developing staff, such as mentoring and training, do not provide the resources faculty staff need to meet the challenges they face. In contrast, experiences in various other educational and professional settings have demonstrated the effectiveness of workplace coaching in fostering well-being, adaptability, flexibility and sustainable performance. This review argues that workplace coaching could similarly support academics.

A critical literature review evaluates coaching interventions across educational and comparable sectors to identify positive well-being and performance-based outcomes.

While there is limited research into the efficacy of coaching interventions for faculty staff in HE, research in other educational, as well as comparable professional contexts, identifies significant sustainable improvements in well-being and performance for professional staff.

The evidence that identifies positive outcomes of coaching in professional workplace contexts is compelling. This critical review uses some of that evidence base to propose an agenda to implement coaching programmes that support faculty staff to improve their well-being and performance.

While there are published research studies on the positive outcomes of coaching in primary and secondary educational contexts, as well as for postgraduate research students, there is very limited knowledge, practice and research about coaching faculty staff in HE. This article addresses this by critically reviewing a broad range of literature to identify coaching and research initiatives for faculty staff in HE institutions.

Most construction projects are undertaken with the incentive of some form of profit which in business attracts disputes that key disputing parties intend to resolve through mechanisms such as arbitration as early as possible so that they may advance with other activities associated with the project. However, this intention is regularly unfulfilled, disappointing the parties with late arbitration resolution. This study, therefore, explored the duration influencing factors (DIFs) facing arbitration practice in the Tanzania construction industry.

A concurrent convergence mixed methods approach was used where a total of 12 DIFs were identified from the literature, and data were then collected from 39 construction arbitrators, 8 semi-structured interviews and 4 documentary reviews. Descriptive and inferential statistics were employed for quantitative data and directed content analysis for the qualitative data.

Results show that contrary to most people’s convictions, delays in arbitration are regularly caused by the disputing parties rather than the arbitrating party or the authority. The study identified cooperation amongst the tribunal parties, poor accuracy and submission of documents and material evidences, late payment of arbitration fees, and skills, experience, reputation and profession of the arbitrator to be the most critical factors that cause late arbitration resolution.

The use of mixed methods concurrent triangulation convergence approach provides a unique contribution to knowledge by highlighting how the efficacy of arbitration in time performance could be further developed through understanding the critical factors that drive the proceedings duration in the Tanzania construction industry.

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.

This project aims to optimise a secondary agricultural company’s reporting and data lifecycle by providing self-help business intelligence at an optimal price point for all business users.

A design for Lean Six Sigma approach utilising the define, measure analyse, design and verify methodology was utilised to design a new reporting and data product lifecycle.

The study found that this approach allowed a very structured delivery of a complex program. The various tools used assisted greatly in delivering results while balancing the needs of the team.

This study demonstrates how improving data analysis and enhanced intelligence reporting in agribusinesses enable better decision making and thus improves efficiencies so that the agribusiness can leverage the learnings.

Improving data analysis increases efficiency and reduces agrifood food wastage thus improving sustainability and environmental impacts.

This paper proposes creating a standardised approach to deploying Six Sigma methodology to correct both the data provisioning lifecycle and the subsequent business intelligence reporting lifecycle. It is the first study to look at process optimisation across the agricultural industry’s entire data and business intelligence lifecycle.

Trust is an important facilitator of successful B2B relationships. The purpose of this study is to investigate affect-based antecedents of both interpersonal and interorganizational trust, and their impact on the performance of buyer–supplier relationships. The authors ask two research questions: (1) What are affect-based dimensions of interpersonal and interorganizational trust? (2) How do interpersonal and interorganizational trust influence buyers’ operational performance?

The authors use data from an original survey of 156 buyer–supplier relationships between multinational enterprise subsidiaries and local suppliers in the Thai manufacturing sector to develop a structural model in which the authors test the hypotheses.

Consistent with social exchange theory and social psychology, the empirical analysis shows that affect-based dimensions at the individual level, namely, likeability, similarity and frequent social contact, and at the organizational level, namely, supplier firm willingness to customize and institutionalization of cooperation, are important for establishing trust. In addition, interpersonal trust enhances buyers’ operational performance indirectly via interorganizational trust.

Buying and selling firms may develop organizational trust by developing processes that enhance organizational trust. Individuals with purchasing or sales responsibilities may enhance trust in their personal relationship. However, such interpersonal trust needs to be translated to the organizational level to benefit organizational performance.

The findings contribute to the literature on affect-based antecedents and outcomes of trust. Specifically, the authors offer theory and empirical evidence regarding the contribution of salespersons toward affect-based dimensions of trust and its impact on buyer’s operational performance.

Additive Manufacturing technology (AMT) is swiftly gaining prominence to induce automation and innovation in manufacturing systems. It holds immense potential to change supply chain dynamics by providing the possibility of printing objects on demand. This study thus formulates and analyzes the framework to incorporate AMT to handle the spare parts supply chain management (SPSCM) in capital-intensive industries by identifying and assessing the critical success factors (CSFs).

Assessment of the CSFs is performed using the novel Grey Causal Modeling method (GCM) with the objective of making SPSCM resilient and efficient. GCM conducts causal analysis by taking into consideration cause, effects, the objectives, and the situations.

Findings indicate that; Logistics Lead Time (SD4), Time to manufacture (SD3), Management Support (SD11), and Risk Management (SD20) are the most prominent causal factor having a maximum impact when incorporating AMT in SPSCM. The results also reveal that the performance of manufacturing organizations that adopt AMT is substantially influenced by internal and external factors such as Management Support (SD11) and Government Regulations (SD16).

This research provides valuable information for getting the global spare parts supply chain equipped for the post-COVID age, where digital technologies such as AMT will be fundamental for bolstering supply chain resilience and efficiency.

This research proposes a framework for performance assessment when incorporating AMT in SPSCM. Study also demonstrates methodological application of novel Grey Causal Modelling technique using a real case in a spare parts manufacturing industry in India.

From ancient times, people have been drawn to the sites of past battles to pay their respects, learn about history, and gain a deeper understanding of the sacrifices made by those who fought. Today, battlefield tourism is a popular way for people to connect with the past and honor those who served their countries. Battlefield tourism is a significant component of war tourism and is not a new phenomenon (Smith, 1996). Even before the concepts of dark tourism or thanatourism emerged, studies were mostly carried out within the scope of heritage tourism at battlefields and war-related sites. However, with the increasing interest in the macabre and morbid aspects of history, dark tourism has gained popularity as a distinct form of tourism, encompassing sites related to death, tragedy, and disaster.

The debate about how to interpret war or how battlefield tourism relates to death is not new, and many studies on battlefield tourism compare and contrast various aspects of travel, whether they are dreary, educational, or enjoyable. To examine battlefield tourism from a historical perspective, firstly conceptually, it is necessary to consider how it has been perceived from the past to the present and what structures are involved. This section aims to examine the tourism of the battlefields from a historical perspective. In this context, at the first stage, its development in the literature was examined from a conceptual point of view, and then the turning points where tourism activities started were discussed.

Entrepreneurial mindsets differ in diverse cultural contexts affecting the perceptions of business opportunity as well as the strategic posture and how to network to successfully implement it. For example, many scholars have shown that risk taking and proactiveness (i.e., characteristics of the strategic posture) are affected by cultural characteristics. The aim of the chapter is to shed light on the relationship between socio-cultural practices (using the GLOBE cultural theoretical framework) and entrepreneurial behavior understanding how culture may foster or hinder the entrepreneurial mindsets. The authors discuss how certain cultural dimensions may be linked to various aspects of entrepreneurial mindsets. Furthermore, the authors make some reflections with regard to the contextual conditions shaped by cultural factors that seem to be the most appropriate to spread the Humane Entrepreneurship Model.