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The need to enhance student support is evident in higher education (HE) curricula. In addition to the complications created by the COVID-19 pandemic, the current strategies used in academia are criticised for their lack of appropriate student support in HE. The study focused on the themes under Section 4 of the National Student Survey (NSS): availability to contact tutors, receiving good advice and guidance and availability of good advice. The study aimed to provide recommendations for enhancing academic support by developing drivers that need implementation during course delivery.

A documental analysis and a qualitative survey were adopted for this study. A documental analysis of 334 mid-module reviews (MMRs) from levels three to six students in the built environment (BE) discipline. Critical themes identified from the MMRs were fed forward in developing a questionnaire for academics. A sample of 23 academics, including a Head of school, a Principal lecturer, Subject leads and Lecturers, participated in the questionnaire survey. Content analysis is adopted through questionnaire data to develop drivers to enhance academic support in BE. These drivers are then modelled by interpretive structural modelling (ISM) to identify their correlation to NSS Section 4 themes. A level partition analysis establishes how influential they are in enhancing academic support.

The study identified nine drivers, where two drivers were categorised as fundamental, two as significant, four as important, and one insignificant in enhancing academic support in HE. Module leaders’/tutors’ improving awareness and detailing how academic support is provided were identified as fundamental. Differentiating roles in giving advice and the importance of one-to-one meetings were identified as significant. A level partitioning diagram was developed from the nine drivers to illustrate how these drivers need to be implemented to promote the best practices in academic support in HE.

The identified drivers and their categories can be used to set prioritised guidelines for academics and other educational institutions to improve students’ overall satisfaction.

Novelty from the study will be the developed drivers and the level partitioning diagram to assist academics and academic institutions in successfully integrating academic support into HE curricula.

This paper aims to assess retail shopping avenues for young consumers based on the type of guidance and assistance they pursue (social media vs professional service provider) in purchasing situations judged to be important. Young consumers consider themselves pet parents and pets represent an extension of self. Thus, pet-related products, by their importance, represent an excellent area of analysis for this inquiry.

Data collection was completed in a way that is contextually relevant and gives the results ecological validity with the assistance of a major supplier of pet food. A total of 470 Gen Z owners of small companion animals were obtained. The partial least squares structural equation modeling testing method is considered appropriate for the model analysis due to the structure and homogeneity of the sample and due to the precision of the method.

Results indicate that, in accordance with social media engagement (SME) theory, high SME elevated social commerce purchase intentions while professional advice seekers reported increased brick-and-mortar shopping. Thus, context-dependent, young consumers may purchase from brick-and-mortar sites.

This paper draws on SME and Advice Response Theory and proposes an original model explaining channel selection preferences for young consumers based on the type of advice sought for important purchasing decisions. The model represents a steppingstone to investigate the mechanism that translates information search sources into buying through different channels.

The use of generative artificial intelligence (genAi) language models such as ChatGPT to write assignment text is well established. This paper aims to assess to what extent genAi can be used to obtain guidance on how to avoid detection when commissioning and submitting contract-written assignments and how workable the offered solutions are.

Although ChatGPT is programmed not to provide answers that are unethical or that may cause harm to people, ChatGPT’s can be prompted to answer with inverted moral valence, thereby supplying unethical answers. The authors tasked ChatGPT to generate 30 essays that discussed the benefits of submitting contract-written undergraduate assignments and outline the best ways of avoiding detection. The authors scored the likelihood that ChatGPT’s suggestions would be successful in avoiding detection by markers when submitting contract-written work.

While the majority of suggested strategies had a low chance of escaping detection, recommendations related to obscuring plagiarism and content blending as well as techniques related to distraction have a higher probability of remaining undetected. The authors conclude that ChatGPT can be used with success as a brainstorming tool to provide cheating advice, but that its success depends on the vigilance of the assignment markers and the cheating student’s ability to distinguish between genuinely viable options and those that appear to be workable but are not.

This paper is a novel application of making ChatGPT answer with inverted moral valence, simulating queries by students who may be intent on escaping detection when committing academic misconduct.

This study aims to provide insights into wine consumers in Hong Kong and Mainland China, and the diversity of their behavior, by investigating their motivations, consumption and purchasing behavior and segmenting the sample based on wine knowledge and frequency of consumption to identify three distinct clusters that are then profiled.

Data was collected through an online survey of wine consumers of ethnic Chinese origin residing in Mainland China and Hong Kong, using two methods of recruitment (a convenience sample from wine-related databases, a panel survey undertaken by an international market research firm). The final sample comprised 477 respondents, about equally divided among Mainland Chinese and Hong Kong wine consumers. Analysis of the data using the Statistical Package for Social Sciences for Windows (SPSS) 29 included a series of descriptive analyses, followed by a two-step cluster analysis using an Euclidean distance method.

Wine knowledge and frequency of wine consumption were relatively higher within the sample as a whole than previous studies, but three distinct consumer segments are evident. There is evidence of a democratization of wine consumption, and a greater focus on wine consumption for enjoyment in relaxed and informal settings. rather than consumption driven by health and status, occurring primarily in commercial or business settings. The dominance of red wine in this market is also declining, and intrinsic cues – specifically, prior experience of the wine – are becoming important in wine purchase decisions.

This study uses a broad sample of wine consumers to identify trends in wine consumption patterns and motivations, and purchase decision-making behavior, of Mainland Chinese and Hong Kong wine consumers. The identification of three clusters of wine consumers offers both points of comparison with previous segmentation research globally and within China, whilst also identifying scope for further research.

This paper aims to investigate how congruent keywords are used in information security policies (ISPs) to pinpoint and guide clear actionable advice and suggest a metric for measuring the quality of keyword use in ISPs.

A qualitative content analysis of 15 ISPs from public agencies in Sweden was conducted with the aid of Orange Data Mining Software. The authors extracted 890 sentences from these ISPs that included one or more of the analyzed keywords. These sentences were analyzed using the new metric – keyword loss of specificity – to assess to what extent the selected keywords were used for pinpointing and guiding actionable advice. Thus, the authors classified the extracted sentences as either actionable advice or other information, depending on the type of information conveyed.

The results show a significant keyword loss of specificity in relation to pieces of actionable advice in ISPs provided by Swedish public agencies. About two-thirds of the sentences in which the analyzed keywords were used focused on information other than actionable advice. Such dual use of keywords reduces the possibility of pinpointing and communicating clear, actionable advice.

The suggested metric provides a means to assess the quality of how keywords are used in ISPs for different purposes. The results show that more research is needed on how keywords are used in ISPs.

The authors recommended that ISP designers exercise caution when using keywords in ISPs and maintain coherency in their use of keywords. ISP designers can use the suggested metrics to assess the quality of actionable advice in their ISPs.

The keyword loss of specificity metric adds to the few quantitative metrics available to assess ISP quality. To the best of the authors’ knowledge, applying this metric is a first attempt to measure the quality of actionable advice in ISPs.

The purpose of this paper is to understand how digital interventions are mediating the identity work of community health workers (CHWs) in the context of two African countries.

This paper analyzes the everyday work of CHWs in two low- and middle-income country (LMIC) contexts (Uganda and Malawi) and seeks to understand changes in collective identity and the role of Information and Communication Technologies (ICTs) in mediating this “identity work”. As CHWs conduct their everyday tasks of care giving, data reporting and maintaining social interactions, they play two primary roles. One is the care giving role oriented towards the community, and two, is reporting and administrative work by virtue of them being affiliated with the Ministry of Health, either in formal or voluntary capacity. The ambivalence which they experience as they move back and forth between these two worlds of work is significantly now mediated through ICTs. The paper analyzes these dynamics and identifies three key sets of ambivalence in identity work: (1) role embracing-institutional distancing; (2) conformist-resistant and (3) dramaturgical-transformative. The paper makes unique contributions to information systems (IS) and ICT for development (ICT4D) studies in that it focuses on a nonprofessional group, which plays a fundamental role in providing care to underserved populations and also conducts data work which provides the foundation of the national health information system. This contrasts with dominant research in the field which focuses on professional groups, largely based in Western business organizations.

The paper identifies identity related tensions that emerge with the mediation of digital technologies in the work world of CHWs. These include tensions of conformist-resistant; and (3) dramaturgical-transformative. These findings are relevant and unique to the field of IS and ICT4D studies in that it focuses on a nonprofessional group, which plays a fundamental role in providing care to underserved populations and also conducts data work which provides the foundation of the national health information system.

While acknowledging identity construction and negotiation is a function of both work and social lives, in this paper we could only focus on the work lives.

As digital interventions in the health sector of low and middle income countries is becoming increasingly widespread, often the focus is more on the supply side (the supply of the technology) rather than on the demand side (users experiences and aspirations). Identity becomes a lens to understand these demand side dynamics, which helps provides practical guidance on implementation approaches to ensure that the technology adds value to user work processes and there is a seamless and not a disruptive transition.

CHWs are the most neglected cadre in the health system of low and middle income countries, even though they provide the cutting edge in care provision work to the most marginalized populations, living in rural and underserved areas. By focusing on how technologies can be more effectively implemented to support these care processes, the paper provides important social implications both for practice and research.

Analysis of identity construction and negotiation of informal groups in the unorganized sector of low and middle income countries has not received adequate attention in IS research. The paper seeks to fill this important gap.

This study aims to determine experimentally factors affecting the satisfaction of retail stock investors with various investor protection regulatory measures implemented by the Government of India and Securities and Exchange Board of India (SEBI). Also, an effort has been made to gauge the level of satisfaction of retail equities investors with the laws and guidelines developed by the Indian Government and SEBI for their invested funds.

To accomplish the study’s goals, a well-structured questionnaire was created with the help of a literature review, and copies of it were filled by Punjabi retail equities investors with the aid of stockbrokers, i.e. intermediaries. Amritsar, Jalandhar, Ludhiana and Mohali-area intermediaries were chosen using a random selection procedure. Xerox copies of the questionnaire were given to the intermediaries, who were then asked to collect responses from their clients. Some intermediaries requested the researcher to sit in their offices to collect responses from their clients. Only 373 questionnaires out of 1,000 questionnaires that were provided had been received back. Only 328 copies were correctly filled by the equity investors. To conduct the analysis, 328 copies, which were fully completed, were used as data. The appropriate approaches, such as descriptives, factor analysis and ordinal regression analysis, were used to study the data.

With the aid of factor analysis, four factors have been identified that influence investors’ satisfaction with various investor protection regulatory measures implemented by government and SEBI regulations, including regulations addressing primary and secondary market dealings, rules for investor awareness and protection, rules to prevent company malpractices and laws for corporate governance and investor protection. The impact of these four components on investor satisfaction has been investigated using ordinal regression analysis. The pseudo-R-square statistics for the ordinal regression model demonstrated the model’s capacity for the explanation. The findings suggested that a significant amount of the overall satisfaction score about the various investor protection measures implemented by the government/SEBI has been explained by the regression model.

A study could be conducted to analyse the perspective of various stakeholders towards the disclosures made and norms followed by corporate houses. The current study may be expanded to cover the entire nation because it is only at the state level currently. It might be conceivable to examine how investments made in the retail capital market affect investors in rural areas. The influence of reforms on the functioning of stock markets could potentially be examined through another study. It could be possible to undertake a study on female investors’ knowledge about retail investment trends. The effect of digital stock trading could be examined in India. The effect of technological innovations on capital markets can be studied.

This research would be extremely useful to regulators in developing policies to protect retail equities investors. Investors are required to be safeguarded and protected to deal freely in the securities market, so they should be given more freedom in terms of investor protection measures. Stock exchanges should have the potential to bring about technological advancements in trading to protect investors from any kind of financial loss. Since the government has the power to create rules and regulations to strengthen investor protection. So, this research will be extremely useful to the government.

This work has societal ramifications. Because when adequate rules and regulations are in place to safeguard investors, they will be able to invest freely. Companies will use capital wisely and profitably. Companies should undertake tasks towards corporate social responsibility out of profits because corporate houses are part and parcel of society only.

Many investors may lack the necessary expertise to make sound financial judgments. They might not be aware of the entire risk-reward profile of various investment options. However, they must know various investor protection measures taken by the Government of India & Securities and Exchange Board of India (SEBI) to safeguard their interests. Investors must be well-informed on the precautions to take while dealing with market intermediaries, as well as in the stock market.

The huge Muslim population has increased the demand for halal tourism products and destination factors in this niche tourism segment. Despite the growing body of research conducted regarding ChatGPT’s revolutionary impact on the tourism industry, the use of such an artificial intelligence (AI) tool in halal tourism needs more attention. This study aims to provide a comprehensive an overview of using ChatGPT in the tourism industry, specifically in halal tourism, and offer an agenda for further essential research questions exploration.

Through the intensive examination of the tourism literature dealing with AI and halal tourism, this review identifies the implications related to the use of ChatGPT for Muslim travelers and future trends in halal tourism.

This paper identified the possible utilization of ChatGPT in assisting Muslim travelers across various stages of their journey, encompassing pre-trip, staying and post-trip phases. Subsequently, this paper identified the opportunities and challenges associated with implementing ChatGPT in the context of halal tourism. Finally, the paper delves into potential avenues for future research.

The findings serve as crucial implications, contributing to the theory of halal tourism development and the applications of ChatGPT in halal tourism.

This paper provides essential foundational knowledge for upcoming research on halal tourism theory, ChatGPT and the development of halal tourism sector.

The paper discusses how the management of a sports and fashion company, which we refer to as NULMA, successfully applied the neo/normative control technology “karma organisation” and gained employee engagement. Whereas other studies have documented employee resistance to organisational cultures when used for managerial control, our case demonstrates resistance to management practices that employees find inconsistent with the dominant karma culture.

The study is based on a six-year longitudinal organisational at-home ethnography conducted by one of the authors using methods of both participant and non-participant observation, semi-structured interviews and collaborative production of secondary data in the case organisation.

While our research shows that management can successfully apply neo/normative control which employees accept and support, we further show that employees mobilise the same values to resist management when it fails to deliver on the commitments and promises of the organisational culture.

The study contributes to the literature on organisational culture and, in particular, neo/normative control by theorising employee resistance as being by “accident”, by which we mean an inherent negative potentiality co-invented and released by managers establishing a “karma organisation”. Our theorising culminates in a discussion of the study’s implications for research and practice.

There is a need to support midcareer faculty who have demonstrated scholarly success but require additional development. The purpose of this study was to explore the effects of an initiative for “star faculty” at midcareer, with an emphasis on the role of exceptional others in their professional growth.

This is an exploratory, single-site case study of a midcareer faculty excellence initiative. Data sources include document/site analysis and individual interviews.

Findings reveal the value of “exceptional others” in professional growth among high-performing midcareer faculty. Perceptions about excellence at midcareer emerged as an antecedent to developing midcareer faculty members. Analysis generated themes in behaviors related to supporting midcareer scholars’ professional growth.

This study is an initial step toward refining concepts such as exceptional others, academic stars and scholarly advancement within the academy. There is a need for equity-minded research about these topics. In addition to replication across institutional and disciplinary contexts, there is also a need for longitudinal mixed-methods studies of midcareer faculty mentoring outcomes over time.

The study points to the role of the institution and its senior faculty in fostering midcareer scholarly excellence. Mentoring and development around individualized goals may be of value in addition to an emphasis on clarity around institutional expectations and norms in faculty performance reviews.

Midcareer faculty are a crucial component of the academy, yet they are often overlooked as needing career support, resources and development. This study focuses on mentoring and coaching for postsecondary faculty at midcareer and the role of exceptional others in facilitating faculty professional growth.