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This conceptual work examines how, in times of post-COVID-19 paradigm shift, the employee performance management (PM) process can help multinational corporations (MNCs) strengthen their talent management and, at the same time, meet their future needs.

We take a conceptual approach and present our perspective on what we see as the most critical trends shaping PM and talent management. Contingency theory and Volatility, Uncertainty, Complexity, and Ambiguity (VUCA) theory provide a sound theoretical framework for understanding and responding to the complex and rapidly changing business context post-COVID-19.

Drawing on these theories, we create a framework providing a means of understanding why and how MNCs can maintain talent and, at the same time, develop new talent through the PM process.

Importantly, our study emphasizes the critical role that project management and talent management techniques play for both practitioners and scholars. In order to gain and sustain a competitive edge in the ever-changing VUCA (Volatility, Uncertainty, Complexity, and Ambiguity) landscape, these processes necessitate ongoing reassessment and adaptation. As Plato eloquently stated, “Our Need Will Be the Real Creator,” encapsulating our vision for the proactive and dynamic nature of effective project management and talent management practices.

The study establishes the benefits of an agile and flexible PM approach to help develop talent and pave the way for future research in this increasingly critical area

This paper applies an original construct of “subjective risk intelligence (SRI)” to the small business context. By leveraging on its multidimensionality, it aims to shed light on the existing ambiguities in the analysis of the relationship between the entrepreneurial attitude towards risk evaluation and firms’ financial stability.

The empirical investigation refers to the Italian context, where an ad hoc survey has been administered to a sample of small businesses. Based on both a linear and a semiparametric regression, results show a significant relationship between SRI and firm’s financial structure, and that such relationship is basically nonlinear.

Evidence shows that entrepreneurs with a high level of risk intelligence run highly leveraged firms. Moreover, in the light of the non-linearity of such relationship, higher levels of risk intelligence are associated with a greater capacity of the entrepreneur to govern the financial balance of the enterprise only up to a certain threshold. Over this threshold, risk intelligence generates overconfidence leading the entrepreneur to a reckless behaviour in taking financial risks.

From a theoretical point of view, the paper contributes to the literature by shedding lights on the complexity of the relationship between risk intelligence and small businesses. From a policy point of view, findings suggest that, to train new entrepreneurs, the educational system aims should focus on the development of two specific “soft skills”: the ability to manage emotions and the ability to glimpse opportunities even in uncertain situations.

Kerala, a southern state in India, is acknowledged for its socio-economic reforms such as quality health care, gender parity, high literacy rate and more. However, recent trends show that the state has the highest incidence of various noncommunicable diseases in the country, including diabetes, hypertension and heart coronary artery disease. This research paper aims to examine the link between the Kerala population’s lifestyle, diet and genetic factors and its correlation with a heightened cardio-metabolic risk.

Using Dixon Wood’s interpretive synthesis, this qualitative literature review is systematically used by searching, gathering articles, theme building, comparing and criticising the evidence.

The result shows that only minimal evidence is available regarding the genetic makeup of the Kerala community, food patterns and its link to the high prevalence of non-communicable diseases (NCDs). However, limited and contradicting evidence and studies restricted to a particular region in the state demand more research on this domain.

It is vital to review the diet habits of Keralites due to the alarmingly high prevalence of NCDs. To the best of the authors’ knowledge, this is the first comprehensive review of the diet habits of Kerala and their link to NCDs.

This study aims to investigate the level of empowerment of rural women organic farmers through the Total Observed Score of a Statement-Revised scale (TOSS-R).

In doing so, exploratory factor analysis is used to investigate the factorial structure of the 8-dimensional TOSS scale. Further, first and second-order confirmatory factor analysis is used to confirm the construct reliability and model adequacy of TOSS-R. The data has been collected from 314 women organic farmers from four selected districts (Nayagarh, Khurda, Boudh, and Ganjam) of Odisha based on 2022 records from the Directorate of Horticulture.

The results showed that the TOSS-R is showing better model adequacy compared (CMIN/df = 2.031, RMSEA = 0.073, SRMR = 0.064) to the earlier TOSS scale (CMIN/df = 2.697, RMSEA = 0.840, SRMR = 0.096). Further in the analysis of the overall empowerment, the TOSS-R scale determined that 49.60% of women are highly empowered, 44.58% are moderately, and 5.73% are less empowered.

The study emphasizes that the policymakers should establish a local capacity to promote gender equity in land titling such that women irrigators will be officially labelled as “farmers”, thereby bringing them under government scheme that is exclusively granted to women farmers.

The study’s novelty lies in a more comprehensive model of determining the empowerment of women organic farmers which has the capability to determine the constraints of the women failing to be empowered in the farming sector.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0693

The current research strives to shed light on how ownership structure can impact carbon emission disclosure.

The present study is based on S&P BSE 500 Indian firms. Using manual content analysis, carbon emission disclosure data were collected from a final sample of 318 nonfinancial Indian firms over seven years, i.e. from 2016–17 to 2022–23, having 2,226 firm-year observations. The panel regression has been employed to examine the association between ownership structure and carbon emissions disclosure.

The results of the study suggest that ownership structure variables, such as institutional and foreign ownership, exert a positive and significant influence on carbon emission disclosure. Conversely, block-holder ownership is negatively associated with carbon emission disclosure.

This study enriches the emerging literature on environmental disclosure, climate change, carbon emission disclosure and ownership structure.

The present research work provides treasured acumens to corporate managers, investors, regulators and policymakers as the study corroborates that ownership structure has an imperative role in firms' carbon emission disclosure.

Existing literature has determined the impact of ownership structure on environmental disclosure. In contrast, the current research extends the climate change literature by providing novel insights into how ownership structure can influence firms’ carbon emission disclosure. Moreover, to the best of the authors’ knowledge, the present study is the first to scrutinize the relationship between ownership structure and carbon emission disclosure in the Indian context.

Consumers send billions of messages with high ephemerality each day, yet the effects of this type of communication are relatively unknown. Online ephemeral communication refers to sending and receiving information with a predetermined, finite lifespan in computer-mediated environments. The purpose of this paper is to conceptually understand online marketing communications with high ephemerality relative to messages with low ephemerality within a consumer’s goal system.

This paper is an attempt to conceptually understand how high ephemerality differs from low ephemerality, particularly as online ephemeral communication has emerged and is widely used by consumers and firms. Goal systems theory is applied to understand how ephemerality is a means for consumers to reach their communication goals.

Consumers are more likely to use messages with high ephemerality to impress with narrowly relevant content, regulate emotions, build social relationships, persuade others through peripheral cues and protect privacy, but messages with high ephemerality are less likely to help consumers manage their impression, acquire or share useful information or present strong arguments. It is also proposed that messages with high ephemerality can help marketers increase interest through frequent peripheral cues, including fun and friendly content, drive sales by creating a sense of urgency and increase loyalty, but are less likely to increase awareness, build interest through flattering or informative content or drive sales through transactional messages.

This study primarily advances the goal systems literature by introducing ephemerality. The defining feature of ephemerality, lifespan, also has research implications for studies of word-of-mouth marketing. The propositions in this study are ready for empirical investigation as to when consumers and firms choose to send messages with low or high ephemerality.

Firms need to understand how consumers are using messages sent with low and high ephemerality in order for firms to best move consumers through the sales funnel.

To the best of the author’s knowledge, this is the first paper to differentiate messages with low and high ephemerality, identify the presence and effects of ephemerality in offline and online communication and explain how and why sending messages with low or high ephemerality can help consumers and firms reach their communication goals. There is only one other paper in marketing on ephemerality in online marketing communications and no other conceptual work.

In the accounting field, sustainability accounting (SA) has evolved as a valuable tool that links improvements in environmental, social and governance issues to financial performance. This study aims to examine the structure and evolution of SA research, map the state of knowledge and analyse the literature trends and gaps.

The study adopts a bibliometric review technique with data sourced from the Scopus database. A total of 7,049 extant literature spanning from 1982 to 2022 was analysed using the VOSviewer software.

The authors find a significant growth in the number of publications on SA research, primarily driven by collaboration among researchers from Europe and America. The analysis highlights emerging themes, structure and discusses in detail the changing phases of SA research over the past four decades while highlighting key events that have impacted the development of SA research. Furthermore, the dominant theories used by extant studies are discussed and potential avenues for future research are provided. The authors draw the attention of the research community to the dominant authors, the most cited articles, prominent publication outlets and countries advancing research in this field.

This study advances knowledge on SA research by providing a retrospective assessment of the state of knowledge in the field while highlighting avenues for future research.

This research paper aims to provide a comprehensive overview of the determinants influencing organisations decisions to adopt crowdsourcing. By synthesising existing literature, it seeks to identify critical factors that act as enablers or inhibitors in the adoption process and propose a framework for understanding crowdsourcing adoption within organisational contexts.

This study employed a systematic literature review methodology to examine the determinants influencing organisations' decisions to adopt crowdsourcing. The review encompassed research articles from the Web of Science and Scopus databases, spanning 2006 to 2021. Additionally, morphological analysis was conducted to categorise the identified determinants into three distinct contexts: technological, organisational and environmental. This methodological approach facilitated a comprehensive exploration of the factors shaping crowdsourcing adoption within organisational settings, allowing for a nuanced understanding of the phenomenon across different dimensions.

The study identifies 12 determinants influencing crowdsourcing adoption, categorised into technological, organisational and environmental dimensions. These determinants include technological compatibility, organisational readiness, top management support, crowd readiness and availability of third-party platforms. While some determinants primarily act as enablers, others exhibit dual roles or serve as inhibitors depending on contextual factors.

The findings offer valuable insights for scholars, practitioners, and organisational leaders seeking to leverage crowdsourcing as a strategic tool for innovation and competitiveness. The assessment scale of drivers and barriers developed in this research offers a systematic approach for evaluating the factors influencing crowdsourcing adoption, providing a nuanced understanding of innovation adoption dynamics. Theoretical implications include advancements in morphological analysis methodology and a nuanced understanding of innovation adoption dynamics. Managerial implications highlight strategies for enhancing organisational readiness, leveraging leadership support and mitigating adoption risks. Overall, the study provides a foundation for future empirical research and practical guidance for organisations planning to adopt crowdsourcing initiatives.

This research contributes significantly to crowdsourcing by presenting an integrated and theoretically grounded framework. By consolidating adoption determinants from diverse contexts, this study clarifies the understanding of crowdsourcing adoption. The framework offers practical value to managers and decision-makers, equipping them with a structured approach to assess and navigate the challenges associated with effectively adopting crowdsourcing. As such, this study contributes to advancing crowdsourcing practices and supports more informed managerial decision-making in innovation and knowledge sourcing.

The analytical framework proposed in this study aims to link the capital portfolio approach to sustaining human well-being, 2015 sustainable development goals and development action ARC-D concepts. Nepal case study is a “tribrid” power generation system that combines distributed solar, hydro and wind power generation capacities for the resilience of a community of around 500 people in a remote village with a total installed capacity of 28 kW. The second case study is about the solarization of 900 health centres in Chhattisgarh, India, with off-grid solar PV with a cumulative capacity of 3 MW.

Critical infrastructure at the community scale needs to be resilient to maintain community-level functionality in the face of adverse impacts. The present study provides two case study sites from Nepal and India to demonstrate various elements of resilience building for critical infrastructures, especially for the energy sector.

Granular technology and distributed generation in Nepal and India can act as critical infrastructure in providing on-demand electricity service to enhance community-level resilience along with future opportunities of scale up.

The analytical framework for evaluating community-scale resilience through critical infrastructure design and application of the framework using evidence based on case studies are the original contributions.

The purpose of this article is to identify the role of cloud computing services in business continuity and disaster recovery plans and delineate responsibilities for their execution. In recent times, there has been a huge upsurge in the usage of cloud service models such as infrastructure-as-a-service, platform-as-a-service, software-as-a-service and disaster recovery-as-a-service. However, in case of an emergency event or during contract negotiations, a question might arise as to who should be accountable and responsible for the content and execution of recovery plans. The main stakeholders in this scenario are cloud service providers and cloud consumers.

After a review of academic articles, standards, guidelines and vendor documentation, a proposal for assigning accountability and responsibility for business continuity and disaster recovery plans is presented, based on the RACI (responsible, accountable, consulted and informed) matrix. In this regard, a critical information infrastructure protection plan, a disaster recovery plan, an information systems contingency plan and a business continuity plan have been elaborated on in the article.

RACI matrices are presented for three general cloud service models and for three DRaaS models (managed, assisted and self-service). Accountability and responsibilities depend on the deployed cloud service model and the roles of cloud service providers and cloud consumers.

The proposed model for accountability and responsibility assignment provides a guideline for the allocation of responsibilities to roles not only during recovery but also during contract negotiations between cloud service providers and cloud consumers. By delving into business continuity and disaster recovery processes and activities, similar yet nuanced RACI matrices should be developed, as presented in this paper. They need to be customised for the specific context.