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This study aims to examine the effect of motivating language on employee performance and assesses the mediating roles of organisational citizenship behaviour and employee engagement between motivating language and employee performance in the Indian health-care sector, which is a highly demanding work environment, wherein employee burnout is high.

The study was in the context of COVID-19 pandemic set for health-care workers in India. To collect data and test the proposed research model, 328 questionnaires were respondent by multi-level health-care professionals from private and government hospitals in North India.

The findings suggest that leader’s motivating language is crucial for health-care leaders, inducing employee’s performance in context to patientcare, safety and satisfaction. Underpinning theory of leader member exchange substantiates that the role of leader is pivotal in daily interaction with the stakeholders. Self-determination theory of motivation is determined by psychological needs satisfaction inducing employee engagement and organisational citizenship behaviour, amplified through the leader’s motivating language, resulting into improved patientcare and patient safety. The findings state that leader’s motivating language impacts the high culture context like health-care professionals, as observed in the Indian health-care sector during COVID-19. The findings are indicative of developing non-cognitive personality traits for managerial skills.

The study substantiates the pivotal role of the leader’s communication with stakeholders such as patients/attendants and health-care staff. The findings, which are an indicator of patientcare, as an outcome of patient compliance, will be indicative of developing the non-cognitive skills in the personality traits of managerial skills, inducing patients’ trust in their health-care providers, using motivating language. Therefore, the health-care professionals must be trained in the application of motivating language with stakeholders, namely, patients/attendants and staff.

The findings state that leader’s motivating language impacts on employees of high culture context like health-care professionals, as observed in the Indian health-care sector during the recent global medical emergency of COVID-19, whereas the earlier studies posited leader’s motivating language to be effective on employees with low-cultural context. The role of leader is pivotal in daily interaction with the stakeholders, namely, patients/attendants and health-care staff.

The purpose of this study is to investigate the influence of light intensity and sources of carbon and nitrogen on the cultivation of Spirulina maxima.

Cultures were carried out in a modified Zarrouk medium using urea, sodium acetate and glycerol. A Taguchi experimental design was used to evaluate the effect on the production of biocompounds: productivities in biomass, carbohydrates, phycocyanin and biochar were analyzed.

Statistical data analysis revealed that light intensity and sodium acetate concentration were the most important factors, being significant in three of the four response variables studied. The highest productivities in biomass (46.94 mg.L⁻¹.d⁻¹), carbohydrates (6.11 mg.L⁻¹.d⁻¹), phycocyanin (3.62 mg.L⁻¹.d⁻¹) and biochar (22, 48 mg.L⁻¹.d⁻¹) were achieved in experiment 4 of the Taguchi matrix, highlighting as the ideal condition for the production of biomass, carbohydrates and phycocyanin.

Sodium acetate and urea can be considered, respectively, as potential sources of carbon and nitrogen to increase Spirulina maxima productivity. From the results, an optimized cultivation condition for the sustainable production of bioproducts was obtained.

This work focuses on the study of the influence of light intensity and the use of alternative sources of nitrogen and carbon on the growth of Spirulina maxima, as well as on the influence on the productivity of biomass and biocompounds. There are few studies in the literature focused on the phycocyanin production from microalgae, justifying the need to deepen the subject.

The purpose of this study is to revisit the conventional wisdom about a key contribution [i.e. strengths, weaknesses, opportunities, threats (SWOT) analysis] in the field of strategic management. The societal context and the role of academics, consultants and executives is taken into account in the emergence of SWOT analysis during the 1960–1980 period as a pivotal development within the broader context of the satisfactory, opportunities, faults, threats (SOFT) approach. The authors report on both the content and the approach, so that other scholars seeking to invigorate indigenous theories and/or underreported strategy practices will thrive.

Applying a historiographic approach, the authors introduce an evidence-based methodology for interpreting historical sources. This methodology incorporates source criticism, triangulation and hermeneutical interpretation, drawing upon insights from robust evidence through three iterative stages.

The underreporting of the SOFT approach/SWOT analysis can be attributed to several factors, including strategy tools being integrated into planning frameworks rather than being published as standalone materials; restricted circulation of crucial long-range planning service/theory and practice of planning reports due to copyright limitations; restricted access to the Stanford Research Institute Planning Library in California; and the enduring popularity of SOFT and SWOT variations, driven in part by their memorable acronyms.

In the spirit of a renaissance in strategic planning research, the authors unveil novel theoretical and social connections in the emergence of SWOT analysis by combining evidence from both theory and practice and delving into previously unexplored areas.

Caution is advised for scholars who examine the discrete time frame of 1960–1980 through mere bibliometric techniques. This study underscores the risks associated with gathering incomplete and/or inaccurate data, emphasizing the importance of triangulating evidence beyond scholarly databases. The paradigm shift of strategic management research due to the advent of large language models poses new challenges and the risk of conserving and perpetuating academic urban legends, myths and lies if training data is not adequately curated.

The health, well-being and productivity (i.e. WELL) of office building occupants are vulnerable to poor office environments. Therefore, this study aims to identify new features and concepts of office buildings in supporting occupants’ WELL. To achieve that aim, this study: explores new WELL features for office buildings, develops new WELL concepts for office buildings and examines the influence of the newly developed WELL concepts on existing WELL building standard (WELL v2) concepts.

The first phase involved ten experts to assign weightage for health, well-being and productivity. In the second phase, 206 questionnaire survey data were collected from office building occupants throughout Malaysia. Exploratory factor analysis established new WELL concepts for office buildings. Partial least-squares structural equation modelling examined the influence of the newly developed WELL concepts on the existing WELL v2 concepts.

Two new WELL concepts were developed: “space and services”, consisting of sufficient space, workstation privacy, office layouts, building automation systems, cleanliness and information technology (IT) infrastructure, and “building security”, consisting of security systems and safety at parking lots. Here, “space and services” influences all existing WELL v2 concepts, and “building security” influences the water, nourishment, mind and community concepts of WELL v2.

This study uncovers holistic WELL building concepts to support occupants’ health, well-being and productivity with additional new features and concepts for construction industry policymakers to establish holistic building assessment tools.

This study aims to develop a proprietary indicator to measure the digital presence of the institutions: the digital presence index.

This research delves into how nonprofit institutions, specifically business interest associations (BIAs), have developed their internet presence by applying essential digital marketing techniques. To this end, and using big data mining tools, this study analyzes the tracking by internet users of 102 BIAs, with their respective websites in 36 countries in Europe and the USA. In addition, the presence and activity of the institutions included in this study on social networks are considered.

This research serves as a basis for discussing the current gap between social reality and the digitalization of institutions. In this sense, conclusions are drawn on the importance of managerial profiles in decision-making on digitization and the necessary knowledge that, together with Web and social network managers, they must have to articulate the means and techniques that promote the internet presence of the organizations they manage.

Conclusions are drawn according to the geographical scope of the BIAs, and an argument is made about the difficulties of connection and loss of prominence of this type of institutions among their different target audiences, especially among the youngest and most digitized.

This study aims to investigate the effects of the historical prevalence of infectious diseases on contemporary entrepreneurship. Previous studies reveal numerous proximate causes of entrepreneurship, but little is known about the fundamental determinants of this widespread economic concern.

The central hypothesis is that historical pathogens exert persistent impacts on present-day entrepreneurship. The authors provide support for the underlying hypothesis using ordinary least squares and two-stage least squares with cross-sectional data from 125 countries consisting of the averages between 2006 and 2018.

Past diseases reduce entrepreneurship both directly and indirectly. The strongest indirect effects occur through GDP per capita, property rights, innovation, entrepreneurial attitudes, entrepreneurial abilities, entrepreneurial aspirations and skills. This result is robust to many sensitivity tests. Policymakers may take these findings into account and incorporate disease pathogens into the design of entrepreneurship.

The novelty of this paper lies in the adoption of a historical approach that sheds light on the deep historical roots of cross-country differences in entrepreneurship.

This paper presents a conceptual framework based on an extensive literature review. The aim of this study is to deepen understanding of the relationship between carbon performance and the financial market by applying qualitative research approaches.

The investigation has identified 372 articles sourced from Scopus databases, subjecting the bibliographic data to a comprehensive qualitative–quantitative analysis. The research uses established protocols for a structured literature review, adhering to PRISMA guidelines, machine learning-based structural topic modelling using Python and bibliometric citation analysis.

The results identified the leading academic authors, institutions and countries concerning carbon performance and financial markets literature. Quantitative studies dominate this research theme. The study has identified six knowledge clusters using topic modelling related to environmental reporting; price drivers of carbon markets; environmental policy and capital markets; financial development and carbon emissions; carbon risk and financial markets; and environmental performance and firm value. The results of the study also present the opportunities associated with carbon performance and the financial market and propose future research agendas on research through theory, characteristics, context and methodology.

The results of the study offer insights to practitioners, researchers and academicians regarding scientific development, intricate relationships and the complexities involved in the intersection of carbon performance and financial markets. For policymakers, a better understanding of carbon performance and financial markets will contribute to designing policies to set up priorities for countering carbon emissions.

The study highlights the critical areas that require attention to limit greenhouse gas emissions and promote decarbonisation effectively. Policymakers can leverage these insights to develop targeted and evidence-based policies that facilitate the transition to a more sustainable and low-carbon economy.

The study initially attempts to discuss the research stream on carbon performance and financial markets literature from a systematic literature review.

This article explores how firms' unresponsiveness to Black customer feedback influences Black (vs. White) customers' perceived firm-based discrimination and brand engagement.

Two experimental studies (Study 1(N1) = 254) and Study 1(N2) = 484) are conducted to test the modeled relationships. The data are analyzed using ANOVA, PROCESS Model 4 and PROCESS Model 7.

The findings suggest that though perceived discrimination remains modest in all conditions, Black (vs. White) respondents report higher perceived discrimination when the firm fails to respond to a Black customer's negative or neutral (but not positive) brand-related feedback on social media. The results also indicate that Black (vs. White) customers exhibit lower engagement through perceived discrimination in the case of the firm's unresponsiveness to a Black customer's negative and neutral (but not positive) brand-related feedback regardless of the manager's race.

Prior research on intercultural service encounters and ethnic differences in consumer engagement on social media are combined to examine the relationship between customer race and perceived discrimination based on the firm's unresponsiveness to customers' social media posts.

Manipulations were created based on a fictitious e-tailer. Thus, it is recommend that future researchers examine the extent to which the findings hold for existing (r)etailers. In addition, future studies using secondary data could provide additional evidence for the findings.

Managerial attention is accentuated among customer feedback responsiveness, engagement and perceived firm discrimination. Managers are encouraged to adopt communication strategies that complement the firm's strategy and social media presence.

To explore a potential relationship between politicians’ media background and social media success through an analysis of content and engagement strategies adopted by three consecutive Israeli prime ministers on their official Facebook pages.

A detailed comparative content analysis of a total of 1,242 posts published by three Israeli prime ministers – Benjamin Netanyahu, Yair Lapid and Naftali Bennett – on the same official Facebook account, “the Prime Minister of Israel,” during their respective terms. Metrics like engagement rates, content distribution and media type utilization were considered.

All analyzed prime ministers exhibited consistent messaging strategies, suggesting a standardized approach to digital political communication. However, we found no correlation between a politician’s media background and their success on social media. Instead, decisive determinants of engagement outcomes were factors like longstanding political exposure and familiarity.

The observed uniformity in leaders’ messaging strategies indicates a prevalent standardized approach in digital political communication, revealing potential avenues for innovation and diversification.

This research challenges the prevailing notion that background in media inherently benefits digital political engagement, emphasizing the significance of political experience. The results provide new insights into the evolving landscape of political communication. Using signaling theory to evaluate how digital content reveals leaders’ intentions and credibility, our findings provide new insights into political communication in the digital era.

Despite an enormous body of literature on conflict management, intra-group conflicts vis-à-vis team performance, there is currently no study investigating the conflict prevention approach to handling innovation-induced conflicts that may hinder smooth implementation of big data technology in project teams.

This study uses constructs from conflict theory, and team power relations to develop an explanatory framework. The study proceeded to formulate theoretical hypotheses from task-conflict, process-conflict, relationship and team power conflict. The hypotheses were tested using Partial Least Square Structural Equation Model (PLS-SEM) to understand key preventive measures that can encourage conflict prevention in project teams when implementing big data technology.

Results from the structural model validated six out of seven theoretical hypotheses and identified Relationship Conflict Prevention as the most important factor for promoting smooth implementation of Big Data Analytics technology in project teams. This is followed by power-conflict prevention, prevention of task disputes and prevention of Process conflicts respectively. Results also show that relationship and power conflicts interact on the one hand, while task and relationship conflict prevention also interact on the other hand, thus, suggesting the prevention of one of the conflicts could minimise the outbreak of the other.

The study has been conducted within the context of big data adoption in a project-based work environment and the need to prevent innovation-induced conflicts in teams. Similarly, the research participants examined are stakeholders within UK projected-based organisations.

The study urges organisations wishing to embrace big data innovation to evolve a multipronged approach for facilitating smooth implementation through prevention of conflicts among project frontlines. This study urges organisations to anticipate both subtle and overt frictions that can undermine relationships and team dynamics, effective task performance, derail processes and create unhealthy rivalry that undermines cooperation and collaboration in the team.

The study also addresses the uncertainty and disruption that big data technology presents to employees in teams and explore conflict prevention measure which can be used to mitigate such in project teams.

The study proposes a Structural Model for establishing conflict prevention strategies in project teams through a multidimensional framework that combines constructs like team power conflict, process, relationship and task conflicts; to encourage Big Data implementation.