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This paper systematically reviews the evolution of Internet of Things (IoT) research in business and management over the past decade and a half. It synthesizes current knowledge, identifies major themes, gaps, and future opportunities to guide scholars on potential research directions within this exponentially growing domain.

A structured systematic literature review methodology filtered IoT publications across business/management journals using Scopus database. Detailed thematic and bibliometric analyses chronologically mapped the progress of peer-reviewed articles from 2005–2023. Both quantitative metrics and qualitative coding inductively revealed historical trends, topics, applications and research implications.

Analysis uncovered six primary IoT research themes - business models, technology, data, customers, organizations, and sustainability. Dominant focuses were found on technological enablers, business model innovation and customer experience transformations. While technical aspects are well-documented, strategic technology integrations and organizational change management require greater emphasis.

Focus restricted to academic articles published in management journals risks missing relevant papers published in other fields. Screening process involved some subjectivity. Lacks geographic analysis of research contexts. The rapidly evolving nature of technology domain risks findings’ generalizability.

Key enablers and success factors that we identified may support managerial decision making when it comes to IoT adoption.

We discuss advancing IoT innovation through ethics and sustainability lenses and these may help ensure responsible adoption.

This analysis weaves together the extant literature and offers an evidence-based research agenda for management scholars by chronicling the state, evolution, influential factors, and future opportunities within IoT literature. It highlights major thematic shifts and priority gaps to address.

Children can play an active and valuable role to minimise disaster risks and vulnerabilities. Yet, peer-reviewed literature on child participation in Disaster Resilience Education (DRE) is lacking. This knowledge gap is larger in low- and middle-income countries, especially related to vulnerable communities. The current study explores how child participation in developing and delivering a DRE intervention is associated with their mental well-being and resilience.

This qualitative study is part of a larger project where a DRE intervention was co-developed and delivered by children in the informal settlements in Chennai, India, using a participatory approach. This project used qualitative methods including interviews and focus group discussions with children who co-developed the intervention, their parents and staff members of the collaborating Non-Government Organisation (NGO) to understand their experiences and inform its processes.

The children involved in the development and delivery of the intervention reported that not only did they learn the skills necessary to prepare for hazards in the future, it also increased their confidence, self-worth and self-efficacy. This was also observed by parents and staff members of the collaborating NGO. They expressed pride towards the children and applauded their ability to communicate key Disaster Risk Reduction (DRR) messages with assertiveness.

There is a dearth of empirical papers on child participation in DRR activities, and this study fills some of that gap by reporting the perceived impact of children's participation on their mental well-being and resilience. Furthermore, this study can act as a roadmap for researchers aiming to do action research with children.

DRR is more effective when all stakeholders, especially the affected and at-risk children, and communities are closely involved in structuring, planning, developing and delivering key disaster preparedness messages. This study serves to show that children's participation in DRR activities not only impacts their preparedness but that it helps children in disaster recovery as well, in addition to building their resilience and overall improvement in their mental well-being.

Given the participatory nature of this study, it involves children closely in the development and delivery of DRE intervention. The communities involved in this study had complex vulnerabilities including poverty, marginalisation and based in a low-and-middle income country, India. Oftentimes, these communities are not represented in scientific literature, and this study attempts to bridge that gap.

This study presents a multi-stakeholder perspective on child participation in its potential impact on children's mental well-being and resilience. The DRE intervention was co-developed and delivered by children in the community making it unique in its development process as well as the context it was developed in – informal settlements in Chennai, India.

This paper investigated the organizational adoption of big data analytics (BDA) in the context of supply chain planning (SCP) to conceptualize how resources are orchestrated for organizational BDA adoption and to elucidate how resources and capabilities intervene with the resource management process during BDA adoption.

This research elaborated on the resource orchestration theory and technology innovation adoption literature to shed light on BDA adoption with multiple case studies.

A framework for the resource orchestration process in BDA adoption is presented. The authors associated the development and deployment of relevant individual, technological and organizational resources and capabilities with the phases of organizational BDA adoption and implementation. The authors highlighted that organizational BDA adoption can be initiated before consolidating the full resource portfolio. Resource acquisition, capability development and internalization of competences can take place alongside BDA adoption through structured processes and governance mechanisms.

A relevant discussion identifying the capability gap and provides insight into potential paths of organizational BDA adoption is presented.

The authors call for attention from policymakers and academics to reflect on the changes in the expected capabilities of supply chain planners to facilitate industry-wide BDA transition.

This study opens the black box of organizational BDA adoption by emphasizing and scrutinizing the role of resource management actions.

This study aims to test the mediating role of psychological contract (PC) in a relationship between personality dimensions and turnover intention.

The current study is analytical in nature. The data for the purpose of the analysis is collected from 300 software engineers working in Lahore, Punjab. Purposive sampling technique is used for the collection of this data. The response rate was 87.33 per cent. Different data analysis techniques such as correlation, regression analysis, are used to test the 10 hypotheses of the study. Moreover, the study adopted a cross-sectional survey design.

According to regression analysis, extroversion, conscientiousness and agreeableness personality dimensions brought positive but insignificant increments in turnover intention. However, emotionally stable personality dimensions brought positive and significant increments in turnover intention. Open to experience personality dimension brought negative but insignificant decrement in turnover intention. Results showed extroversion personality dimension brought a very less but insignificant increment in variations of PC, which have higher contributions in variations of turnover intention. Emotional stable, conscientiousness and agreeableness personality dimensions brought also very less but a significant increment in PC. Open to experience personality dimension have negative but insignificant decrement in PC. Results showed the mediation impact of PC among emotional stability, conscientiousness and agreeableness personality dimensions and turnover intention. However, PC does not mediate among extroversion, open to experience personality dimensions and turnover intention. The paper concludes with recommendations for further research.

This study will help the organization in reducing the turnover rate and can enhance the motivation level of their employees.

Diabetes is regarded as a global epidemic with 382 million people globally suffering from diabetes. It also has major implications on patients’ quality of life. There are also high cost of treatment associated with diabetes for both patient and healthcare provider. Telemonitoring represents an excellent technology opportunity to redefine health care delivery. Using technology for home-based care promises the ability to deliver more cost effective care whilst also enhancing quality of care and patient satisfaction. The paper aims to discuss these issues.

The current research aims to contribute to the methodological design of action research projects in their use to implementation health technologies such as telemonitoring. In particular, it seeks create a model which can be used to demonstrate the efficacy of the use of the action research method as a viable alternative to the traditional randomised control trials methodology currently employed in healthcare.

The paper contributes towards the methodological design to investigate the area of practice making use of the telemonitoring programme within a Victorian Health Services Network using action research.

It intends to address the research problem of the low utilisation of telemonitoring within Monash Health as a whole, and more specifically within the diabetes unit. In this context the research intends to utilise the benefits of telemonitoring to improve clinical outcomes of patients by increasing insulin stabilisation. It is also intended the research organisation benefits by increased efficiency by decreasing clinical workforce time spent on managing patient insulin data.

While the South Pacific is often cited as highly vulnerable to the impacts of climate change, there is comparatively little known about how different groups perceive climate change. Understanding the gaps and differences between risk and perceived risk is a prerequisite to designing effective and sustainable adaptation strategies.

This research examined three key groups in Samoa, Fiji and Vanuatu: secondary school teachers, media personnel, and rural subsistence livelihood-based communities that live near or in conservation areas. This study deployed a dual methodology of participatory focus groups, paired with a national mobile phone based survey to gauge perceptions of climate change. This was the first time mobile technology had been used to gather perceptual data regarding the environment in the South Pacific.

The research findings highlighted a number of important differences and similarities in ways that these groups perceive climate change issues, solutions, personal vulnerability and comprehension of science among other factors.

These differences and similarities are neglected in large-scale top-down climate change adaptation strategies and have key implications for the design of disaster risk reduction and climate change adaptation and therefore sustainable development in the region.

The research was innovative in terms of its methods, as well as its distillation of the perceptions of climate change from teachers, media and rural communities.

The growing complexity of consumer engagement (CE) due to the impact of Internet of things (IoT) has been attracting significant attention from both academics and industry practitioners especially in recent times. Hence, understanding this phenomenon remains very crucial to the body of knowledge. This study conducted a systematic review on IoT and CE with the aim of proposing future research opportunities using the TCCM model.

Extant literature studies were systematically examined by sourcing high ranking ABS journals from EBSCO, ScienceDirect and Emerald. A total of 58 articles were included in the final analysis of this research.

The analysis established the need to conduct more research on CE due to the impact of new technological implementation in retail. The results further suggest the need for extensive research across African countries and emerging markets to enable broader empirical generalizations of research outcomes. Using the TCCM framework, the authors indicated directions for future empirical research.

This study exposes the current trends in CE and IoT. The results and analysis are both compelling and verifiable, hence, establishing a firm base of reference for future research in related fields.

The purpose of this paper is to analyze how far technology and information enable, facilitate or support the planning and implementation decisions in humanitarian vaccine cold chains for vaccination campaigns. The authors specifically focus on three emerging technologies that have the potential to create more flexible conditions in the field, and identify the need to further explore the link between uncertainty, information and irreversibility.

The authors present a basic structure for the analysis of cold chain disruptions in terms of three distinct yet connected layers of deficient infrastructure and capacity, information gaps and failures in decision making. The authors then review three humanitarian technologies and their impact on vaccine campaigns along these layers. From there, a research agenda is developed to address research gaps this review brought forward.

Three critical research gaps in the areas of technology innovation for humanitarian vaccine cold chain management are presented. The authors argue that technology to improve capacity, information and decisions need to be aligned, and that the areas of uncertainty, information and irreversibility require further investigation to achieve this alignment. In this way, the paper contributes to setting the research agenda on vaccine cold chains and connects humanitarian logistics to technology, information management and decision making.

This paper presents the humanitarian vaccine cold chain problem from an original angle by illuminating the implications of technology and information on the decisions made during the planning and implementation phases of a vaccine campaign. The authors develop an agenda to provide researchers and humanitarians with a perspective to improve cold chain planning and implementation at the intersection of technology, information and decisions.

The adoption of digitalization and sustainability is key phenomenon that has changed perception and behaviors of people recently. As there is a rising power of digital communication by social media platforms, there is higher interaction between people globally. In addition, consumers can influence each other to adopt new consumption pattern. At this point, this paper aims to examine the role of green women influencers on promoting sustainable consumption patterns via social media platforms.

This study employed qualitative research method. The study included four top-lists for green/sustainable social media influencers as a sample case. Then, the data were analyzed by descriptive content analysis. To determine the role of green women influencers in sustainable consumption, this study used classification and categorization technique through descriptive content analysis.

The study indicates that green women are seen as a primary social media influencer because of promoting sustainable consumption patterns in general. Especially, green women have more power to change consumption patterns via digital platforms. Green women social media influencers, who are micro-celebrities, share primary contents such as sustainable fashion, green foods, sustainable travel, sustainable lifestyle, conscious choices, green cosmetics and zero waste life to promote sustainable consumption patterns. Women social media influencers are much more effective than men influencers to transform society's consumption behaviors into sustainable consumption patterns.

The study provides some qualitative findings based on the selected four top-listed green social media influencers by different social media platforms. Future studies can find out different results based on different sample cases and employ quantitative research methodology.

The study suggests policymakers to cooperate with green women social media influencers to achieve sub-targets of 2030 Sustainable Development Goals (SDGs). Especially, it is suggested to cooperate with micro-celebrities or Internet celebrities to promote sustainable consumption patterns.

The study proves that women social media influencers have the essential role in promoting green/sustainable consumption patterns via digital platforms. In addition, green women influencers can guide their followers to adopt sustainable consumption patterns.