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This study aims to explore blockchain potential for digital marketing (BlkChn-Mk-KAP) by developing and validating a measurement model for assessing the constructs of knowledge, attitude and practice (KAP) related to blockchain technology in digital marketing.

A four-study process was used. The first study reviewed the literature to develop a pool of possible measurement items. Using exploratory factor analysis and reliability assessments, Study 2 (n = 162) investigated the dimensionality of the items developed in Study 1. The factorial structure from Study 2 was validated in Study 3 (n = 204), and the measurement model invariance was assessed using covariance-based structural equation modelling (CB-SEM). Finally, in Study 4 (n = 203), the predictive validity of the BlkChn-Mk-KAP was tested using a CB-SEM approach, testing its constructs correlations with the perceived usefulness of blockchain for digital marketing.

The findings indicate that the BlkChn-Mk-KAP measurement model comprises three-dimensional multi-item scales: knowledge, attitude and practice.

This study introduces a promising BlkChn-Mk-KAP model to examine blockchain’s role in digital marketing. The authors acknowledge the sampling limitation in this research. To enhance the generalisability of the findings, future research should expand to different groups, including generation, gender and age. In addition, further exploration of the explicit links between blockchain knowledge, attitudes and subsequent digital marketing performance is warranted.

Educating employees about blockchain technology’s unique features can shape favourable attitudes and stimulate the utilisation of blockchain-enabled technologies in digital marketing practice. BlkChn-Mk-KAP can offer a reliable and valid instrument to benchmark marketers’ KAP of blockchain-powered digital marketing as they implement blockchain technology to gain a competitive advantage.

This study helps to adopt sustainable practices ensuring the wellbeing of the key stakeholders.

This research introduces the first validated conceptualisation and measurement model, BlkChn-Mk-KAP, to evaluate blockchain KAPs among digital marketing professionals.

The impact of climate change (CC) has become the most defining issue of the present times. From an increase in temperature to food and water scarcity, the adverse effect of CC is faced globally by all countries on an unprecedented level. Environmentally polluting industries are considered one of the primary contributors to the problem of CC. This chapter aims to provide an understanding of the emerging global threat of CC and various strategies that environmentally polluting firms could undertake to tackle the climate change crisis.

Based on the review of the literature, this chapter presents deliberation on the climate change crisis and various strategies for environmentally polluting industries to tackle CC issues.

This chapter presents a bird's eye view of the CC issue and various strategies that could be undertaken by environmentally polluting industries to address the CC crisis.

This chapter should be very useful for policymakers, practitioners and corporations to understand the issue of climate change and global warming and its implications. Further, it will also help polluting companies to reduce greenhouse gas (GHG) emissions and address the adverse impact of their business activities.

Considering the dearth of sector-specific studies based on climate change, this chapter is one of the few studies that explore CC strategies in the context of polluting industries.

This study aims to examine the impact of non-fungible tokens (NFTs’) characteristics on Chinese consumers’ purchase intention towards luxury fashion physical products. It also investigates the mediating role of perceived hedonic value and moderating role of perceived NFT–physical product fit during the buying process.

A conceptual model combining Stimuli–Organism–Response Model and Theory of Consumption Value was established. A purposive sampling method was adopted to collect data from luxury fashion consumers aged 21–41 who lived in four Tier 1 cities in China. Structural equation modelling and SmartPLS 4.0 were utilized to analyse the 304 valid questionnaires collected.

The study’s findings indicate that luxury fashion NFTs with four characteristics (NFT scarcity, NFT exclusivity, NFT design aesthetic and NFT novelty) affect Chinese consumers’ purchase intention towards luxury fashion physical products positively, with perceived hedonic value mediating these relationships. Further, perceived NFT–physical product fit moderates the relationship between perceived hedonic value and purchase intention.

This study bridges a gap in investigating the interplay between NFTs as intangible collectibles and tangible products, by stressing the significant role played by NFTs in influencing the purchase intention of luxury fashion products. This paper contributes to an understanding of consumers’ psychological responses and behaviours towards NFTs, providing a new perspective in the study of luxury fashion NFTs in the context of marketing strategy and consumption.

The use of technological innovations to effectively deliver construction projects is gaining significant coverage. This study aims to assess the inhibiting factors to the utilisation of laser scanners for the delivery of construction projects in developing economies using South Africa as the study area.

Adopting a quantitative technique, this study elicited responses from construction professionals using a questionnaire as the instrument for data collection. A four-pronged data analysis method was used, comprising descriptive statistics, Kruskal−Wallis h-test, exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

Findings from the study show that lack of awareness and high cost of acquisition are the barriers rated by the study’s respondents the most. Also, findings from the EFA and CFA conducted showed and affirmed the significance of three constructs inhibiting factors to the utilisation of laser scanners for construction project delivery: technical hindrances, financial impediments and institutional challenges.

This study makes practical contributions to the discourse of using innovative technologies for effective construction project delivery by inhibiting factors to the use of laser scanners.

Evidence from the literature shows that no study has assessed the barriers to the utilisation of laser scanning technology for construction projects in the South African construction industry. This study strives to close this gap in the literature.

The main data used to develop this case were remote, synchronous interviews with the three characters in the case. The authors conducted two interviews with the main character in the case, Geoff Brown, specifically: (1) an initial 30 min interview to determine the fit and focus of the case and to help create the interview protocol for the full case interview (this initial interview was conducted on March 12, 2024); and (2) an hour-long interview to ask targeted questions to fully develop the case narrative (this interview was conducted on March 28, 2024). Geoff Brown was also involved in reviewing drafts of the case, approving the final version of the case and reviewing the assignment questions in this instructors’ manual (IM).

This case focuses on Geoff Brown, Executive Director at Alberta Chicken Producers (ACP), which is a not-for-profit organization in Alberta, Canada, that is responsible for representing 250 regulated chicken producers. Brown is grappling with what to do with the remote/hybrid work policy at ACP. Part of the impetus for reconsidering this policy was the comments from ACP’s long-tenured Office Manager and Executive Assistant, who had been asking Brown to bring this policy forward to a staff meeting for discussion throughout the past year. Brown now feels ready to move these discussions forward but is unsure of how to proceed and what the best practices would be to ensure that the policy in place for remote work is beneficial for work engagement, individual and organizational work performance, work–life balance, employee relationships and fairness perceptions.

The target audience for this case is undergraduate and graduate students taking a course in the disciplines of human resources management or organizational behavior. This case will be especially relevant for a human resources management course when studying the topics of employee benefits (e.g. work–life balance), health and safety (e.g. stress) and work design (e.g. telecommuting), and this case will be especially relevant for an organizational behavior course when studying the topics of motivation (e.g. fairness), communication, organizational culture and decision-making.

The purpose of this study is to investigate the accuracy and creativeness of ChatGPT in the domain of quantitative aptitude.

ChatGPT 3.5 is used to generate multiple-choice quantitative aptitude questions. A total of 1,100 questions were created across 11 different areas of quantitative aptitude. A dataset is obtained through ChatGPT prompts. Human specialists assessed the accuracy and creativity of these questions. Every question is evaluated and classified into six distinct grades to indicate its level of accuracy. Likewise, the procedure of assessing each question includes providing a grade that showcases originality. Subsequently, we generate hypotheses to evaluate the accuracy and creativity of ChatGPT’s response. The hypotheses are evaluated through the application of statistical methods, such as the one-tailed test.

Our study indicates that ChatGPT exhibits a moderate degree of accuracy when solving mathematical aptitude questions. Our work shows that, for instance, when prompted to generate 10 questions regarding a specific quantitative aptitude topic, ChatGPT is unlikely to produce more than five questions that are accurate in terms of solution and explanation, and it seldom generates more than three new questions. This study also compares the accuracy of ChatGPT in answering questions related to quantitative aptitude with that of questions related to medical science. This study illustrates that ChatGPT is less precise in its responses to quantitative aptitude questions than it is in medical science questions. However, including it as a tool for producing a wide range of quantitative aptitude questions poses a significant problem in terms of creativeness.

The study is focused on a topic set that encompasses approximately 50% of the topics studied within the realm of quantitative aptitudes. In addition, the inclusion of human experience in verifying the correctness of ChatGPT may potentially undermine the study’s accuracy.

Our study shows that ChatGPT demonstrates poor originality and quantitative correctness, thereby limiting its teaching value. This is particularly worrying for students, as ChatGPT does not assist in assessing an answer, making human verification necessary.

Our research will be valuable for individuals residing in countries such as India who are actively preparing for competitive examinations to secure employment in diverse government and private enterprises and are utilising the ChatGPT platform for this purpose.

The purpose of this study is to ascertain which competences are seen by employers as important for accounting students in an emerging economy, to triangulate this list with the experiences of working students and compare with those work competencies acquired during the period of study.

This study employs a novel mixed-method approach, with interviews of employers (n = 11) to identify key work competencies, and then with a quantitative study of working students (n = 184) to examine the work competency gap, using paired T-tests and mean weight discrepancy scores. The study was undertaken between September and December 2022.

The paper provides empirical insights into key work competencies in an emerging economy. There is a focus on technical skills at the university, whilst soft skills are preferred by employers. New key work competencies were uncovered relating to intuition, innovation and communicating in a foreign language. The key personal characteristics required for the job relate to change and uncertainty.

A qualitative assessment of key work competencies of employers and the use of mean weighted discrepancy scores is recommended in further studies in this field.

Practical approaches for educators, government and employers are offered to address the increasing demand for soft skills and other work competencies specific to an emerging economy.

The study is set in an emerging economy, which is underdeveloped in this field. The findings inform key stakeholders with a vested interest in reducing the work competency gap.