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This paper aims to present a conceptual framework of how software teams can leverage the implicit information of implemented acceptance tests to cater to the needs of decision makers. The research questions on this framework were how business stakeholders can receive project status information in an intuitive way and how this framework can guarantee the traceability of tests to requirements.

The conceptual framework delineates the design of an acceptance test framework in three aspects: how the requirements model reflects the evolving states of requirement maturity over a project, how the acceptance test model becomes synchronized with the requirements model without a traceability matrix and how the acceptance test model communicates business value to the decision makers.

In an industrial case study, the presented framework yielded the positive effects of intuitive understanding by business stakeholders, high test coverage of requirements and distinctly reduced manual quality assurance (QA) work by automated testing for browsers and mobile devices.

The presented framework can help to convince business stakeholders to approve the budget for building a testing framework because it delivers them value as a status reporting tool.

This paper is the first to describe a step-by-step approach to solving a critical problem that IT departments frequently face. The solution consists in a new way of transforming the perception of a technical framework into a reporting tool for business information by intuitive design. The idea of mapping hierarchically corresponding abstraction layers can be transferred to other engineering domains.

The purpose of this research is to analyze the development of high‐tech international new ventures as an acting process by individuals in relationship networks.

The study cross‐fertilizes research on internationalization of international new ventures, opportunity development of entrepreneurs and innovation development in technology‐based firms. A longitudinal case study on the development process of an international new venture operating in the software business is used as a base for analytical generalization and theory development.

The study illustrates events at three intertwined levels of acting on the development of an international new venture. It defines internal problem solving, external solution creation, opportunity selling and opportunity organizing as the behaviors driving the emergent, multi‐level process and embedding the venture in various networks.

Statistical generalization based on common patterns experienced by several firms was not sought in this study. Using the process research approach with event‐based analysis, the study, however, provides an in‐depth analysis of international new venture development through the actions of individuals at the level of key events. The methods for examining a complex development process over time can be utilized by other process researchers.

The complexity of building high‐tech international new ventures is, to a great extent, due to the necessity of handling the process at three levels simultaneously and in connection with one another. Since international new ventures are often based on business opportunities that have a short window of opportunity, the timeline creates further challenges. Embedding the business into various resourcing, legitimizing and otherwise assisting networks is crucial.

The study provides an insight into the ways of acting in networks that intertwines the internationalization, opportunity and technology development with development of a high‐tech international new venture. The study follows the development process in real time, something that is quite rare in previous international entrepreneurship research.

The study discusses the importance of workplace learning in the current era of work and how organisations are shifting their focus toward employee learning and development. It highlights the need for employees to continuously up-skill themselves to keep up with the demand for skills. The purpose of this study is to introduce a modern approach to evaluating workplace learning to promote and enhance better performance within the workplace.

It introduces a deep modern learning approach called “behavior-oriented drive and influential functions of formal and informal learning”. The study also develops the concept of the “Study, Plan, Do, Check, and Act” framework to simulate practise and theory within and outside of work to allow continuous improvement, learning new workplace tools, and bridging digital transformation challenges. The study highlights that workplace learning occurs in a variety of contexts and uses various tools, which poses challenges for the design and development of technology that supports and analyses workplace learning.

Based on behaviour-orientated drive and influential functions for formal and informal learning, a grade of 6.54% days was registered for formal learning tools and 4.89% days for informal learning tools. From the statistics in this study, This study concluded that informal learning tools contribute more to the development of the workplace than formal learning. In informal learning, employees act autonomously at their own will and pace to obtain the required knowledge. The time to acquire knowledge through informal learning tools is shorter than in formal learning. Future relevant research should review more learning tools for formal and informal learning.

Modern workplace learning is a key tool for organisations to gain a competitive advantage. Learning based on formal training and development programs, informal learning and knowledge sharing influence the development of human capital resources.

The study combines social science and engineering approaches to enable non-engineers to pioneer execution of tasks and examine their performance based on the approach detailed in the results, methodology and discussion sections. It contributes to the field of learning organisations and organisational learning by exploring the learning processes of modern professionals. By investigating the learning practices and experiences of knowledge workers, this study seeks to identify the factors that promote or learn and the impact of learning on the workplace.

The purpose of this article is to explore the possible negative asymmetric effects in the impact of service quality on the satisfaction and retention of different customer segments in a professional business services context. Negative asymmetry means that a lower than average service quality evaluation has a stronger effect on customer satisfaction and retention than a higher than average evaluation.

The article provides a survey of 124 business customers of a Midwestern radio advertising services provider, preceded by nine in‐depth interviews with account reps of the advertising firm and two focus groups with business customers.

Along the service quality dimensions – customer satisfaction – retention chain, there are significant negative asymmetric effects and the mediating role of satisfaction varies widely. There are important differences across customer groups: service outcomes are most important determinants of customer satisfaction for large and relatively newer accounts; functional quality dimensions (empathy) are most important factors for small and relatively mature accounts.

Surveying customers of one organization in one industry reduces the generalizability of the findings. The study employed only two segmentation variables, while many other variables could be investigated. The focus is on the asymmetric effects of service quality; other factors, such as costs, were not considered.

Managers should invest resources in improving low performance in the service quality dimensions with strongest impact on customer satisfaction and highest negative asymmetry. The identified segment differences suggest the need to achieve strong results for large accounts and relatively new accounts. The customer relationship is most important for small accounts and relatively mature accounts. Maintaining service reliability is critical for small and new account retention.

This study is a first effort to explore the differences in effects across service quality dimensions and customer segments in a professional business service context. The findings indicate that aggregating customers and the service quality measurement can offer misleading information to managers.

This review aims to provide an overview of research from different academic disciplines to chart some of the key developments in retail cryptocurrency trading against the backdrop of the wider trading landscape, and how it has evolved in recent years. The purpose of this review is to provide researchers with a broad perspective to highlight the complex range of factors that drive cryptocurrency trading among retail investors.

Peer-reviewed literature from the social sciences, economics, marketing and branding disciplines is synthesised to explicate influential factors among retail cryptocurrency investors.

Online retail trading communities can create narratives that ascribe value to cryptocurrencies leading to consumer herding behaviours. The principles that underpin emotional branding and Fear of Missing Out can promote trading behaviour driven by heuristic processing and cognitive biases. Concurrently, the tenets of controversial marketing and the anti-establishment nature of Bitcoin and other cryptocurrencies serve to bolster in-group out-group categorisations fostering continued investment and market volatility. Consequently, Bitcoin and cryptocurrency trading more broadly offer a powerful combination of excitement from risk-taking akin to gambling buffered by the sanctity of social inclusion.

A broader, unique perspective on retail cryptocurrency trading which assists in better understanding the complexities that underpin its appeal to retail investors.

The demanding nature of construction industry poses serious health risks to construction workers. In recent years, construction health management (CHM) has gained much attention to ensure a healthier and safer workplace. However, there is still lack of a systematic review to bring together the disaggregated studies and determine the development status of this research field. As essential for addressing health issues in construction industry, a bibliometric and content-based review on of previous CHM studies would be presented in this paper.

In total, 753 journal articles published in Web of Science core collection from 1990 to 2020 were examined using a systematic review. Bibliometric analysis concentrated on the analysis of publication and citation pattern of CHM research while content analysis was employed to identify main health hazards, levels of analysis and topical focuses.

The results indicated that the USA was the leading country in this research domain. Five health hazards together with 17 research topics at different levels of analysis were classified to allow researchers to track the structure and temporal evolution of the research field. Finally, three emerging trends and a set of research agenda were proposed to guide future research directions.

It is the first to highlight the issues of occupational health management from the perspective of construction workers. It contributes to the field of construction health management by clarifying the knowledge structure, emerging trends and future research directions. It offers valuable guidance and in-depth understanding to researchers, practitioners and policymakers to further promote construction workers' health performance.

Over the past few years, the internet has expanded rapidly, and it has been considered a systematic way that consumers use to retrieve health-related information. However, the existing literature does not provide an articulated view of online health information-seeking behaviour through an in-depth understanding of users’ searching-related behaviour. The objectives of this study are to identify the factors affecting consumers’ health-related internet use and recognise the relationships between those specified and health-related internet use. Finally, the recommendations are made based on the findings.

An amalgamated model of technology acceptance model and health belief model was used to hypothesise health-related internet use behaviour, which is then tested using a cross-sectional survey of 287 Sri Lankan managerial-level employees. The covariance-based structural equation modelling with AMOS was used to check the study hypotheses.

Findings of this study depict five factors contributing to consumers’ health-related internet use as follows: perceived health risk towards chronic diseases consisting of perceived susceptibility and perceived severity; health consciousness; perceived usefulness of the internet; perceived ease of internet use; and attitude towards health-related internet use. As theorised, the internet’s perceived usefulness was positively and significantly related to consumers’ use of health-related internet and attitude towards health-related internet use. But as hypothesised, perceived ease of internet use did not directly affect consumers’ use of health-related internet. Further, findings reveal that health-related internet use is estimated by perceived health risk than health consciousness.

Findings reveal that Sri Lankan managerial-level employees have a reactive health behaviour driven by the perceived health risk and the desire to seek online health information.

The purpose of this paper is to highlight the increased impact that academic research can gain when collaborating and sharing knowledge with corporate stakeholders and marketing practitioners, through the lens of managing tier demotion and deceitful behaviors in a channel marketing program. In particular, this paper highlights that true impact (defined as being meaningful change) can only be achieved when the research findings are operationalized and deployed as a business solution.

The approach taken in this paper is to challenge the traditional paradigm where field research is led by academics and places the corporate stakeholder at the centre of the research, where they have a leading role. This involves identifying, selecting, collaborating and engaging with key corporate stakeholders early in the research project, thus gaining their input and support so that the research recommendations secure the necessary funding to be successfully deployed.

The authors highlight two research projects focused on tier demotion and disengagement and deceitful behaviour driven from incentivise and gamifying learning. A new tier demotion process involving a highly customised customer care charter has been deployed and resulted in a re-engagement rate of 81% from those channel partners who were demoted (a rise from 40%). Deceitful behaviour detection tools were also deployed, resulting in 4,300 possible deceptive cases being investigated and resolved in Year 1, reducing to 451 in Year 6.

The change in research approach where field research places the corporate stakeholder at the centre of the research will add to the complexity of the research project, impact on timelines and introduce more stakeholders into the research team, which may have wider implications to the original research goal.

This transition will require academics to know more about their corporate partner, the corporate landscape, adding to the complexity of the research project and cede some control over the project.

Whilst academic research contributes to a body of theoretical concepts, equally important is bringing to life the research findings to show actual impact and meaningful change within the research setting. The present research approach has since been applied to multiple channel loyalty programmes across numerous industries increasing revenue and driving the success of the respective programmes. One key learning would be to engage more corporate stakeholders as part of the research project from the outset. The author neglected the legal and trust and compliance team and they had a significant impact on what findings were eventually implemented.

The purpose of this paper is to elaborate the picture of the motivators for information seeking by comparing two cognitive psychological approaches to motivation: self-determination theory (SDT) and expectancy-value theories (EVTs).

The study draws on the conceptual analysis of 31 key investigations characterizing the nature of the above theories. Their potential is examined in light of an illustrative example of seeking information about job opportunities.

SDT approaches motivation by examining the degree to which one can make volitional choices while meeting the needs of autonomy and competence. Information-seeking behaviour is most volitional when it is driven by intrinsic motivation, while such behaviours driven by extrinsic motivation and amotivation are less volitional. Modern EVTs approach the motivators for information seeking by examining the individual’s beliefs related to intrinsic enjoyment, attainment value, utility value and relative cost of information seeking. Both theories provide useful alternatives to traditional concepts such as information need in the study of the motivators for information seeking.

As the study focusses on two cognitive psychological theories, the findings cannot be generalised to all represent all categories relevant to the characterisation of triggers and drivers of information seeking.

Drawing on the comparison of two cognitive psychological theories, the study goes beyond the traditional research approaches of information behaviour research confined to the analysis of information needs.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.