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The competition in the academe has always been tough, but today, the academe seems to be more like an industry than an academic community as academics are evaluated through quantified and economic means.

This article leans on Heidegger’s thoughts on the essence of technology and his ontological view on being to show the dangers that lie in this quantification of researchers and research.

Despite the benefits that information systems (ISs) offer to people and research, it seems that technology has made it possible to objectify researchers and research. This has a negative impact on the academe and should thus be looked into especially by the IS field, which should note the problems that exist in its core. This phenomenon of quantified academics is clearly visible at academic quantification sites, where academics are evaluated using metrics that count their output. It seems that the essence of technology has disturbed the way research is valued by emphasising its quantifiable aspects. The study claims that it is important to look for other ways to evaluate researchers rather than trying to maximise research production, which has led to the flooding of articles that few have the time or interest to read.

This paper offers new insights into the current phenomenon of quantification of academics and underlines the need for critical changes if in order to achieve the academic culture that is desirable for future academics.

A total of 25 years of research on the audit society has provided rich and engaging accounts of the ways in which rituals of verification have conditioned organizations and individuals to think and act. In contrast, this paper aims to explore the possibility of conditions through which things and spaces are enacted to be non-auditable.

Using the concept of proliferation and rarefaction (Callon and Law, 2005), the paper adopts a case-comparison design to explore two empirical sites. The first investigates a vast excess of audit structures against the case of the biggest corporate fraud in German accounting history, the Wirecard scandal. The second discusses the configuration of Tinder, the most popular provider of mobile dating and the absence of visible verification mechanisms.

The paper argues that things can become non-auditable through two mechanisms. Based on the two empirical sites, non-auditability can happen through an overload of auditable resources or, through the withdrawal of required resources. The paper discusses the consequences of this finding and suggests avenues for future research on non-auditability.

While accounting scholars have extensively addressed the audit explosion and traced how audit practices have journeyed into ever more novel terrains, this paper discusses forms of escape from the value-subverting and reductive accounts incorporated in the audit society. It thereby points to conditions under which accounting ends.

Consumer food behavior has received considerable attention from marketers, researchers and regulators. With the rising obesity epidemic worldwide, the existing literature and previous reviews provide a limited understanding of consumers’ unhealthy food choices. To address this gap, this study aims to investigate consumer psychology for food choices in terms of mental processes and behavior.

This systematic literature review analyzed 84 research papers accessed from the Web of Science database and selected high-quality marketing journals. A detailed analysis identified themes arranged in an organizing framework. Gaps, limitations, convergence and ambivalent findings were noted to derive future research directions.

Major themes in the literature include food marketers’ actions (food stimuli and context), environmental influence (micro and macro) and consumer psychology and personal factors, leading to food choice related decisions. The antecedents and consequences of food choice healthiness are summarized. Several studies converged on the benefits of health motivations and goals, food literacy and customizing meals bottom-up on food choice healthiness.

This review helps researchers gain state-of-the-art understanding on consumer psychology for food choices. It presents ambivalent and converging findings, gaps and limitations of extant research to inform researchers about issues that need to be addressed in the literature. This review presents future research questions to guide research on critical issues. This literature review contributes to marketing domain literature on consumer’s food well-being and overall well-being.

This review offers actionable insights for food marketers, policymakers and nongovernmental organizations to drive consumer demand for healthier foods, focusing on food labeling, food environment, message framing and raising consumer awareness.

This review offers current understanding of consumer psychology for food choices focusing on healthiness, an aspect lacking in previous literature reviews.

The acceptance of mobile health (m-health) applications, especially those of a preventive nature, by individuals, is not well understood. Despite the benefits offered by m-health applications in improving and sustaining health and well-being through various avenues, widespread adoption is yet to be seen. Within this context, this study aims to reveal the enabling factors and barriers that influence the use of m-health applications among Generation Z (Gen-Z).

The Unified Theory of Acceptance and Use of Technology (UTAUT) was extended with e-health literacy, trust and enjoyment constructs. Data from a survey study on 312 Gen-Z members were analysed via structural equation modelling, shedding light on the reasons why new generations adopt m-health apps.

The findings indicate that social influence and enjoyment are the most significant factors influencing the use of m-health apps. The significant impact of performance and effort expectancy on intentions was also confirmed by the results. Moreover, privacy risk was identified as a barrier to adoption. The results also indicated that the strong influence of trust on privacy risk can be used to offset those privacy concerns.

The findings highlight that hedonic motivation, which is commonly overlooked in health settings, plays an important role in m-health app use. Thus, promoting mobile app features that provide enjoyment will be influential in attracting the younger generation.

The context of the study differs from the norm and focuses on a regional health tourism hub, Turkey, situated at the crossroads of Europe and Asia. UTAUT model is modified with relevant constructs, namely, enjoyment, e-health literacy and privacy risk, to better fit the m-health context.

Researchers have long been interested in how the psychology of senior managers affects their behaviours. This paper aims to present the results of a questionnaire into how positive self-image influences how well senior managers in UK manufacturing organisations support the implementation of management information system (MIS). This study developed two scales, one to measure senior managers’ attitudes and the other to measure support of MIS implementation. It also sought to investigate the impact of senior managers’ positive self-image on their support of MIS implementation in UK manufacturing organisations.

The authors tested the hypotheses on a data set of 400 senior managers from UK manufacturing organisations. Two unidimensional scales to measure senior managers’ attitude and support level towards MIS implementation were developed. Exploratory factor analysis (EFA) was used to validate the scales. The study also examined the impact of senior managers’ positive self-image on their attitude and support from the perspective of UK manufacturing organisations by using structural equation modelling.

The study found that senior managers’ positive self-image is a significant contributing factor to their attitude. Also, senior managers’ attitude has a strong positive impact on their support in the MIS implementation process. A strong mediating relationship was found to exist between senior managers’ positive self-image and support through their attitude towards MIS implementation.

Although past literature has examined the importance of senior managers’ attitude and support in successful MIS implementation, there has been no specific scale around management support and attitude towards MIS implementation developed to date. Thus, a contribution of this study is its development of two new scales based on a survey of senior managers of UK manufacturing organisations. The scales can be used to evaluate senior managers’ perception towards MIS implementation and the support they are willing to give whilst implementing MIS. Another contribution of this study is the analysis of positive self-image via item-parcelling which improves model efficiency and provides more stable estimates of the construct.

Consumers’ lifestyle and financial decision-making affects their overall well-being. This paper aims to explore the factors that motivate consumers to pursue the goal of financial independence and retiring early (FIRE).

Qualitative netnography was used to analyze FIRE-related discussions by FIRE-specific online communities. The findings were triangulated using inputs from in-depth interviews with 13 financial advisors.

Using conservation of resources as a theoretical lens, two factors were found to be the primary motivators driving FIRE attitude and subsequent adoption of FIRE behavior – “escapism & freedom from the current workplace & life space” and “concern for physical & mental well-being.” Four factors were found to influence the adoption of FIRE attitude and behavior: “individual characteristics” [do-it-yourself (DIY) and proactive attitude, the capability of frugal living and ability to plan, track, and review], “well-paying job,” “support from spouse” and “resistance from social groups.”

Due to the nature of netnography, demographic details of the sample cannot be completely ascertained.

The findings suggest marketing strategies primarily to wealth managers for: shifting to need-based segmentation of FIRE participants, modifying offerings to involve co-creation and low-touch products, innovating pricing models, increasing distribution reach through digitization and increasing sales and lead generation through engagement.

This is one of the first studies to explore the factors driving the adoption of FIRE by general FIRE consumers and presents a conceptual model.

The increase in the number of healthcare wearable (Internet of Things) IoT options is making it difficult for individuals, healthcare experts and physicians to find the right smart device that best matches their requirements or treatments. The purpose of this research is to propose a framework for a recommender system to advise on the best device for the patient using machine learning algorithms and social media sentiment analysis. This approach will provide great value for patients, doctors, medical centers, and hospitals to enable them to provide the best advice and guidance in allocating the device for that particular time in the treatment process.

This data-driven approach comprises multiple stages that lead to classifying the diseases that a patient is currently facing or is at risk of facing by using and comparing the results of various machine learning algorithms. Hereupon, the proposed recommender framework aggregates the specifications of wearable IoT devices along with the image of the wearable product, which is the extracted user perception shared on social media after applying sentiment analysis. Lastly, a proposed computation with the use of a genetic algorithm was used to compute all the collected data and to recommend the wearable IoT device recommendation for a patient.

The proposed conceptual framework illustrates how health record data, diseases, wearable devices, social media sentiment analysis and machine learning algorithms are interrelated to recommend the relevant wearable IoT devices for each patient. With the consultation of 15 physicians, each a specialist in their area, the proof-of-concept implementation result shows an accuracy rate of up to 95% using 17 settings of machine learning algorithms over multiple disease-detection stages. Social media sentiment analysis was computed at 76% accuracy. To reach the final optimized result for each patient, the proposed formula using a Genetic Algorithm has been tested and its results presented.

The research data were limited to recommendations for the best wearable devices for five types of patient diseases. The authors could not compare the results of this research with other studies because of the novelty of the proposed framework and, as such, the lack of available relevant research.

The emerging trend of wearable IoT devices is having a significant impact on the lifestyle of people. The interest in healthcare and well-being is a major driver of this growth. This framework can help in accelerating the transformation of smart hospitals and can assist doctors in finding and suggesting the right wearable IoT for their patients smartly and efficiently during treatment for various diseases. Furthermore, wearable device manufacturers can also use the outcome of the proposed platform to develop personalized wearable devices for patients in the future.

In this study, by considering patient health, disease-detection algorithm, wearable and IoT social media sentiment analysis, and healthcare wearable device dataset, we were able to propose and test a framework for the intelligent recommendation of wearable and IoT devices helping healthcare professionals and patients find wearable devices with a better understanding of their demands and experiences.

The purpose of this paper is to give an overview of artificial intelligence (AI) and other AI-enabled technologies and to describe how COVID-19 affects various industries such as health care, manufacturing, retail, food services, education, media and entertainment, banking and insurance, travel and tourism. Furthermore, the authors discuss the tactics in which information technology is used to implement business strategies to transform businesses and to incentivise the implementation of these technologies in current or future emergency situations.

The review provides the rapidly growing literature on the use of smart technology during the current COVID-19 pandemic.

The 127 empirical articles the authors have identified suggest that 39 forms of smart technologies have been used, ranging from artificial intelligence to computer vision technology. Eight different industries have been identified that are using these technologies, primarily food services and manufacturing. Further, the authors list 40 generalised types of activities that are involved including providing health services, data analysis and communication. To prevent the spread of illness, robots with artificial intelligence are being used to examine patients and give drugs to them. The online execution of teaching practices and simulators have replaced the classroom mode of teaching due to the epidemic. The AI-based Blue-dot algorithm aids in the detection of early warning indications. The AI model detects a patient in respiratory distress based on face detection, face recognition, facial action unit detection, expression recognition, posture, extremity movement analysis, visitation frequency detection, sound pressure detection and light level detection. The above and various other applications are listed throughout the paper.

Research is largely delimited to the area of COVID-19-related studies. Also, bias of selective assessment may be present. In Indian context, advanced technology is yet to be harnessed to its full extent. Also, educational system is yet to be upgraded to add these technologies potential benefits on wider basis.

First, leveraging of insights across various industry sectors to battle the global threat, and smart technology is one of the key takeaways in this field. Second, an integrated framework is recommended for policy making in this area. Lastly, the authors recommend that an internet-based repository should be developed, keeping all the ideas, databases, best practices, dashboard and real-time statistical data.

As the COVID-19 is a relatively recent phenomenon, such a comprehensive review does not exist in the extant literature to the best of the authors’ knowledge. The review is rapidly emerging literature on smart technology use during the current COVID-19 pandemic.

This study aims to investigate the Malaysian Mah Meri Indigenous tourism entrepreneur’s personality, experience, sense of community traits and current challenges in community-based tourism (CBT)-related businesses.

Semi-structured interviews were conducted to gather data from 10 Indigenous tourism entrepreneurs. Data were analysed using the NVivo 11 software.

The qualitative content analysis found three broad themes. Firstly, the authors found that the Mah Meri community possesses unique self-efficacy personality characteristics, significantly predicting their unsustainable entrepreneurial behaviours. Secondly, they are willing to share their values, beliefs and interests in their business offerings, which reflect their sense of community. Even with considerable entrepreneurial experience through learning from local wisdom and upskilling efforts by the government, the authors found that the community limitation mainly concerns the lack of early education, uninventive entrepreneurship practices and financial assistance.

This study provides an improved understanding of the Indigenous business environment for policymakers and Indigenous entrepreneurs. We found entrepreneurial personality, experience, sense of community determine and structure their CBT entrepreneurial activities.

This study provides a new perspective on Indigenous tourism entrepreneurs’ personalities, experiences, sense of community traits and challenges. The study also suggests encouraging sustainable Indigenous entrepreneurship practices for economic development, self-determination and community sustainability.

When scientific information is unclear about the health benefits of foods, people choose to react in different ways. Using a posttest-only control group design, the authors tested how balanced and nonfactual information available on YouTube influences public perception of organic foods.

The authors randomly assigned participants (N = 640) from a southern US land grant university to watch one video: balanced news, nonfactual news, or control. All participants indicated changes in perception about organic foods immediately after the video. The authors analyzed the data using one-way and two-way ANOVA.

The nonfactual news video had the most influence on public perception of organic foods. Results confirmed that the effect of nonfactual information was more for individuals with preexisting beliefs consistent with the message communicated and individuals exposed to average to high levels of health and diet news.

The authors recommend regulatory changes in marketing strategies related to organic foods in the US that encourage balanced information about organic foods rather than promoting credence attributes of organic foods using persuasive information.

The authors findings suggest that, when scientific information about the health benefits of foods is unclear, communication activities should aim to increase healthy skepticism considering the audience's preexisting beliefs and frequency of health and diet news exposure.