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The purpose of this study is to examine how the adoption of blockchain technology can improve organizational sustainability and what are the contributions of morality, ethics and governance in this scenario.

This study has used different literature and theories to build a successful theoretical model and then validated it using the partial least squares structural equation modeling approach. Various statistical modeling analyses have been performed to test the robustness of the proposed model, which is found to be effective and unique as it has a high explanatory power.

This study has found that adoption of blockchain technology can improve the sustainability performance of organizations. It has also highlighted that organizational sustainability will be further enhanced if the underlying algorithms of blockchain technology are transparent to make the applications moral and ethical. This study has further demonstrated that appropriate governance of blockchain technology can support the organizations to enhance their sustainability performance.

This study demonstrates the importance of an organization’s governance over blockchain technology and its impact on sustainability. The study provides valuable input to practitioners and policy makers regarding blockchain technology and its governance models. Also, the study provides valuable recommendations to leaders and managers of organizations on how to successfully adopt blockchain technology.

This study presents a unique theoretical model to explain the influence of the adoption of blockchain technology and an organization’s sustainability. The study also adds value to the overall body of literature in the areas of ethics, governance and blockchain technology along with sustainability.

Research shows that postsecondary students are largely unaware of the impact of algorithms on their everyday lives. Also, most noncomputer science students are not being taught about algorithms as part of the regular curriculum. This exploratory, qualitative study aims to explore subject-matter experts’ insights and perceptions of the knowledge components, coping behaviors and pedagogical considerations to aid faculty in teaching algorithmic literacy to postsecondary students.

Eleven semistructured interviews and one focus group were conducted with scholars and teachers of critical algorithm studies and related fields. A content analysis was manually performed on the transcripts using a mixture of deductive and inductive coding. Data analysis was aided by the coding software program Dedoose (2021) to determine frequency totals for occurrences of a code across all participants along with how many times specific participants mentioned a code. Then, findings were organized around the three themes of knowledge components, coping behaviors and pedagogy.

The findings suggested a set of 10 knowledge components that would contribute to students’ algorithmic literacy along with seven behaviors that students could use to help them better cope with algorithmic systems. A set of five teaching strategies also surfaced to help improve students’ algorithmic literacy.

This study contributes to improved pedagogy surrounding algorithmic literacy and validates existing multi-faceted conceptualizations and measurements of algorithmic literacy.

This paper aims to study the role of self-concept in consumer relationships with anthropomorphised conversational artificially intelligent (AI) agents. First, the authors investigate how the self-congruence between consumer self-concept and AI and the integration of the conversational AI agent into consumer self-concept might influence such relationships. Second, the authors examine whether these links with self-concept have implications for mental well-being.

This study conducted in-depth interviews with 20 consumers who regularly use popular conversational AI agents for functional or emotional tasks. Based on a thematic analysis and an ideal-type analysis, this study derived a taxonomy of consumer–AI relationships, with self-congruence and self–AI integration as the two axes.

The findings unveil four different relationships that consumers forge with their conversational AI agents, which differ in self-congruence and self–AI integration. Both dimensions are prominent in replacement and committed relationships, where consumers rely on conversational AI agents for companionship and emotional tasks such as personal growth or as a means for overcoming past traumas. These two relationships carry well-being risks in terms of changing expectations that consumers seek to fulfil in human-to-human relationships. Conversely, in the functional relationship, the conversational AI agents are viewed as an important part of one’s professional performance; however, consumers maintain a low sense of self-congruence and distinguish themselves from the agent, also because of the fear of losing their sense of uniqueness and autonomy. Consumers in aspiring relationships rely on their agents for companionship to remedy social exclusion and loneliness, but feel this is prevented because of the agents’ technical limitations.

Although this study provides insights into the dynamics of consumer relationships with conversational AI agents, it comes with limitations. The sample of this study included users of conversational AI agents such as Siri, Google Assistant and Replika. However, future studies should also investigate other agents, such as ChatGPT. Moreover, the self-related processes studied here could be compared across public and private contexts. There is also a need to examine such complex relationships with longitudinal studies. Moreover, future research should explore how consumers’ self-concept could be negatively affected if the support provided by AI is withdrawn. Finally, this study reveals that in some cases, consumers are changing their expectations related to human-to-human relationships based on their interactions with conversational AI agents.

This study enables practitioners to identify specific anthropomorphic cues that can support the development of different types of consumer–AI relationships and to consider their consequences across a range of well-being aspects.

This research equips marketing scholars with a novel understanding of the role of self-concept in the relationships that consumers forge with popular conversational AI agents and the associated well-being implications.

The importance of packaging attributes for purchase decisions has generated interest in the research and food industry. As a matter of fact, innovation in packaging is constantly searching for new solutions that generate customer experience. The aim of this study is to analyse the effect of packaging attributes (protection, convenience, portability and storage, information, sustainability, branding and engagement) on consumer purchase intention of experiential packaging especially designed to provide an extraordinary sensory or interactive communicational experience and the influence of potential moderators.

The authors used a quantitative methodology based on the partial least squares (PLS) technique to estimate the structural model proposed. A purposely developed questionnaire was administered to a non-probabilistic sample of 1,489 European consumers. The questionnaire included questions related to consumers' perception of packaging attributes and purchase intention of different experiential packages.

The results indicate that packaging attributes are related to consumer purchase intention of experiential packaging. Engagement attributes show the strongest positive influence followed by branding and economy. However, attributes such as sustainability showed a negative effect on the purchase intention of these packages. The authors’ results also show the influence of gender, family structure and residential background as moderators of the relationships.

Customers' decision-making processes are strongly influenced by product packaging. However, little is known about how new technologies and design in packaging influence consumers' responses. This research provides evidence of the influence of packaging attributes on consumer purchase intention for experiential packaging, a proliferating area of research.

This study aims to explore how information technology (IT) professionals perceive work-life balance (WLB) in a work-from-home (WFH) setup. Additionally, it explores what emotions one may associate with such changing work environments, which have high implications for organisational success.

The two primary research questions guided this research. An online questionnaire-based survey was conducted to collect the data so that respondents’ both subjective and objective perceptions were documented. Purposive cum snowball sampling was used to collect data from 262 IT professionals. However, the data was analysed using both qualitative (content analysis) and quantitative (chi-square) techniques.

The findings of this study are interesting in nature and reported the work-life experiences at various socio-demographic levels (age, gender, educational qualification, designation, work experience, income, type of family and the number of children). The comprehensive examination of the data obtained from diverse aspects related to remote work environments has shed light on crucial facets impacting IT professionals. A predominant observation derived from the study reveals a significant disparity in working hours between male and female respondents during remote work. This discrepancy is notable, with male employees tending to work longer hours (i.e. 10 or more hours daily) than their female counterparts. The investigation into respondents’ sleep patterns revealed that the majority slept between 5 h and 7 h daily, underscoring reduced sleep hours for IT professionals during remote work. This comprehensive study thus emphasises the multifaceted nature of gender-associated influences on work patterns, health and well-being during remote work scenarios among IT professionals. As remote work is the new normal, this study has high implications for future work arrangements and organisational success.

The findings of the study will assist managers in dealing with the work conflict issue of remote workers. Importantly, these managers should try eliminating or reducing workplace conflict, emotional exhaustion and social overload associated with remote work.

This study is a humble attempt to highlight the employee’s WLB in the context of WFH in an emerging market (i.e. India). Furthermore, emphasises practical issues associated with changing work paradigms and concludes with interesting recommendations for future work arrangements.

Celebrate Michael Buckland's impressive legacy to LIS by showing his humanity, generosity and versatility.

This article is walk through a scientific career in LIS. Through personal anecdotes and life history and building upon Michael Buckland's legacy, it summarises the author’s own work seen through the prism of her interactions with Buckland, leading to scholarly contributions articulating significant statements about the field of LIS as well as pointers to past relevant publications.

Michael Buckland has a unique way of putting an end to thorny LIS issues as well as being a documentator extraordinaire.

It is a personal account, as such cannot be evaluated through the classical norms of empirical research as there is no ground truth. This account shows how chance encounters with fellow scholars can have a lasting influence on one's academic career as well as wider impact in a field.

This study aims to examine the perceptions of political figures and campaign strategists in Kuwait regarding the adoption of virtual political campaigns during the COVID-19 pandemic. By using an enhanced version of the technology acceptance model (TAM), it seeks to understand and quantify their attitudes toward these digital campaign methods. This study can be considered as a bold contribution to the discussion on digital transformation of virtual channels for the promotion of bold innovation and social impact in Kuwait.

Data was gathered from 82 participants, comprising 47 politicians and 35 campaign managers in Kuwait. A comprehensive method involving both questionnaires and face-to-face interactions was implemented to ensure a thorough collection of relevant data, aiming to support the research’s objectives effectively.

The results underscore the significant influence of perceived ease of use, perceived usefulness and the newly integrated factor of perceived convenience on the attitudes toward virtual political campaigns. These factors collectively shape the willingness and approach of political entities in embracing digital campaigning avenues. The findings also indicate that digital transformation in the design and implementation of virtual campaigns can be grounded on positive attitudes and perceptions.

The research fills a critical gap in existing literature by examining large-scale attitudes toward virtual political campaigns in Kuwait’s unique context. It offers novel understandings of how political figures and campaign managers perceive and adapt to technological advancements in campaign strategies, mainly during unprecedented crisis times like the COVID-19 pandemic. This study contributes to academic discourse and has practical implications for the evolution of political campaigning strategies in a digital age. A direct implication of our study is also the need to promote further future research on the capacity of digitally transformed channels for political campaigns to be venues of bold innovation. It also highlights the need to provide citizens with training and awareness for this new era of prompt responses to their requirements toward sustainable development and innovation.

Upon graduating from university, many engineers will work in new product development and/or technology adoption for continuous improvement and production optimization. These jobs require employees to be cognizant of ethical practices and implications for design. However, little engineering coursework, outside the traditional ABET (Accreditation Board for Engineering and Technology) required Engineering Ethics course, accounts for the role of ethics within this process. Because of this, engineering students have few learning opportunities to practice and reflect on ethical decision-making.

This paper highlights one approach to integrating ethics into an engineering course (outside of engineering ethics). Specifically, the study is implemented within a five-week module with a focus on big data ethics, as part of a Supply Chain Management Technology course (required for Industrial Engineering Technology majors), using metacognition as the core assessment.

Four main themes were identified through the qualitative data analysis of the metacognitive reflections: (1) overreliance on content knowledge, (2) time management skills, (3) career connections and (4) knowledge extensions.

Three notable points emerged which contribute to the literature. First, this study showcased one example of how an ethics module can be integrated into an engineering course (other than Engineering Ethics). Second, this study demonstrated how metacognitive reflections can be used to reinforce student self-awareness of the learning process and connections to big data ethics in the workplace. Finally, this study exhibited how metacognitive reflection assignments can be deployed as a teaching and learning assessment tool, providing an opportunity for the instructor to make immediate changes as needed.

Research done to date has produced a wide range of perspectives that center on the junction between the specific function and responsibility of the entrepreneur when applying ethical dimensions to the field of entrepreneurship. By combining a bibliometric analysis with the literature review, the purpose of this paper is to provide an overview of entrepreneurship ethics and its contribution to sustainable development goals, along with future research directions on the topic of entrepreneurship and ethics.

The research looked for literature based on entrepreneurship ethics from the Dimension database. The authors accumulated 2,279 articles for the period of 2002–2022 for analysis. The authors used bibliometric analysis for analyzing the topic with the use of VosViewer and Excel.

By combining a bibliometric analysis with a literature review, this study aimed to provide an overview of the ethics and entrepreneurship and contribution to sustainable development goals. The most influential author and journal are Vanessa Ratten and the Journal of Business Ethics, respectively. The top sustainable development goals (SDGs) being contributed by entrepreneurship ethics are SDG4, SDG8, SDG16, SDG11 and SDG3. By contrasting these two interpretations, the authors have demonstrated that the entrepreneurship environment involves various ethical issues connected to personal, organizational and societal sectors.

The current study may serve as a general guideline for future investigation into this topic.

Regarding the practical ramifications, the findings can help entrepreneurs who are preparing to launch a business or are already doing so. The findings provide a comprehensive framework of success variables that must be considered to improve the venture’s performance.

This study’s originality is from presenting a structured and in-depth literature review that describes the current state of entrepreneurship ethics and its contribution to sustainable development goals. A complete analysis of the data gathered on entrepreneurship ethics is offered to establish that it is sustainable.