PurposeThis study aims to examine how family-related cyberloafing impacts dual-role conflict, multitasking skills and work−life balance among Indonesian first-generation professional working women. The study draws on cognitive dissonance theory to examine how digital behaviors can reduce psychological stress when professional and familial expectations conflict.Design/methodology/approachIn Indonesia, 335 first-generation professional working women from dual-income households were surveyed online. Multitasking skills, dual-role conflict, family-related cyberloafing and work−life balance were examined using structural equation modeling.FindingsResults suggest that family-related cyberloafing mediates dual-role conflict, multitasking capacity and work−life balance. The findings show that cyberloafing can help professional women manage contradictory responsibilities and multitasking, reducing dissonance and maintaining work−life balance.Research limitations/implicationsThis study advances cognitive dissonance theory by presenting cyberloafing as a coping mechanism rather than a negative work practice. Digital micro-behaviors are used to explain role conflict and adaptive control in the work−life literature.Practical implicationsOrganizations should explore ways to curb cyberloafing and acknowledge that some forms may help employees psychologically adjust to and manage their roles. Management practices that limit digital use may improve the well-being and performance of professional women.Social implicationsThe findings highlight how technology-mediated coping supports women navigating dual roles in emerging economies. Recognizing these adaptive strategies can inform broader discussions on gender equity, workplace inclusion and the social sustainability of dual-income households.Originality/valueFamily-related cyberloafing is a new mediator of work−life conflict, and cognitive dissonance theory explains its involvement. It provides culturally grounded insights into how Indonesian professional women use technology to balance dual roles.
PurposeThis study aims to explore the factors influencing digital adoption within family businesses, highlighting its role in ensuring operational continuity, competitiveness and long-term viability.Design/methodology/approachA qualitative multiple-case study incorporated in-depth interviews with representatives from 13 family businesses across diverse industries. Data were analysed using thematic coding and cross-case analysis to identify key themes and rationales behind digital adoption.FindingsThis study identifies nine primary rationales for digital adoption: agility, collaboration, competitiveness, cost efficiency, productivity, innovation, sales orientation, time savings and operational streamlining. This study proposed a conceptual model to illustrate these forces.Research limitations/implicationsThe findings enrich existing literature on family business digitalization by identifying key drivers and proposing a conceptual framework. Given its geographic focus, scholars should cautiously generalize findings.Practical implicationsFamily business practitioners can leverage the identified forces to adopt digital technologies strategically, enhancing operational efficiency and market relevance.Social implicationsDigital adoption supports family business sustainability, job creation and long-term economic contributions.Originality/valueThis research provides actionable insights into digital adoption rationales for the family business operating within a developing economy.
PurposeThis study aims to examine a competency model of social commerce (s-commerce) for small and medium-sized enterprises (SMEs) performance and explores the moderating effect of locus of control on s-commerce success.Design/methodology/approachBased on the technology-organization-environment (TOE) framework, the authors collected 414 samples and analyzed them using structural equation modeling.FindingsThe study finds that information and communication technologies, business processing, security and privacy, trust and governmental support each have a significant positive effect on s-commerce success for SMEs. Customer service, organizational culture and support from business partners do not significantly affect s-commerce success. In addition, locus of control strongly moderates the relationships between specific TOE factors – namely, business processing, security, trust and government support – and s-commerce success, either strengthening or weakening these effects depending on the individuals’ locus of control.Research limitations/implicationsThe study records data from a single country and looks at SMEs from a variety of industries, thus caution is required to generalize the findings.Practical implicationsThis study highlights how emerging technologies drive s-commerce success, especially in boosting revenue and sales through advanced generation and materials.Social implicationsThese results highlight the value of s-commerce in the TOE framework for understanding key aspects of SME performance and sustainability.Originality/valueThis study identifies key future research areas for SMEs’ e-commerce, emphasizing digital marketing strategies to guide future research on s-commerce growth.
PurposeHow can companies balance marketing and research and development (R&D) to sustain competitive advantage through performance? Although these resources are widely recognized as key strategic investments, it remains unclear under what conditions and time frames they generate sustained impacts on firm performance. This study aims to examine the individual and combined impacts of marketing and R&D on market share and profitability over time, while accounting for prior performance levels.Design/methodology/approachUsing 18 years of panel data, the authors examine how marketing and R&D investments affect market share and return on assets over a four-year period and under four distinct prior performance conditions.FindingsMarketing yields rapid market-share gains but loses strength over time, whereas R&D offers slow yet steady improvements in market share and profitability. Joint investments yield modest but consistent profit gains, particularly when firms previously had low market power and high profit efficiency. Marketing, either alone or in combination with R&D, enhances future profitability for firms that previously had weak market power and efficiency, whereas firms strong in both dimensions face diminishing returns.Research limitations/implicationsThe evidence clarifies how marketing and R&D investments dynamically shape firm performance, offering a more precise understanding of their interaction and sustainability.Practical implicationsManagers can use these insights to allocate financial resources strategically, thereby optimizing both short-term and long-term performance.Social implicationsEmpowering companies to harness sources of competitive advantage improves sustained performance, thereby enhancing firm-level competitiveness and the persistence of profitability over time.Originality/valueThis research uniquely integrates marketing and R&D investment strategies, demonstrating how their interplay, contingent on prior performance, sustains long-term competitive advantage.
PurposeThis study aims to examine the relationship between digital transformation search volume and stock returns in the Vietnamese stock market.Design/methodology/approachThe authors collected weekly data from Google Trends and vn.investing.com, spanning from week 33 of 2019 to week 32 of 2023. Using this data set, the authors used various quantitative approaches, including VAR-Granger, Ordinary Least Squares (OLS) and Copula, to test the relationships between variables.FindingsThe results obtained from VAR-Granger analysis reveal a unidirectional causality from digital transformation search volume to the stock returns of VN-Index, VN-30 and VN-100. Findings from the OLS indicate a negative lagged impact of search volume on digital transformation for stock returns. Moreover, using the Copula approach, the authors determine that the structural dependency between the search volume for digital transformation and the VN-Index follows a normal distribution. This suggests that simultaneous positive and negative changes between the variables are equally likely to occur.Research limitations/implicationsThe study is meaningful further research.Practical implicationsThe study is meaningful for stakeholders: investors and policymakers.Originality/valueBy offering these insights, this paper contributes to a deeper understanding of the relationship between digital transformation and firm performance within the stock exchange market.
PurposeThis study aims to identify factors influencing the prioritization of rival public values, with Brazilian state governments as locus. The paper also proposes a conceptual model comprising the intervening factors and their relationships with the public and the value positions.Design/methodology/approachThis exploratory study used a qualitative cross-sectional design. A focus group was used as the method of data collection, with 27 civil servants from 13 Brazilian states, representing all geographic regions, serving as respondents. Data analysis was based on the rhetoric of public managers’ discourses in counterpoint to their practical actions regarding decisions on prioritizing public value positions.FindingsThe government side was analyzed; however, the quantitative validation of the theoretical model remains to be conducted in further research.Research limitations/implicationsThe data analysis revealed that political issues are the primary variable influencing digital government decisions. Therefore, political leadership is the decisive factor driving the choices regarding digital initiatives. It may also indicate why the values adopted differ from those defended by political agents and explain the imperative of efficiency, as political decision-making can interfere with internal factors. The media was the only external factor identified.Practical implicationsThis research contributes to understanding the factors and variables that influence decision-making regarding digital government projects.Social implicationsThe study can help in understanding public value positions, promoting transparency, inclusion and improving governance. Government social media efforts are key in cultivating digital participation and engagement. This digital transformation in government is vital, aligning with the growing expectations of digital experiences, thus empowering citizens and enhancing the relationship between government and citizens.Originality/valueThe proposed conceptual model makes a relevant theoretical contribution by illustrating the dynamics of prioritizing rival public value positions.
PurposeThis study aims to investigate how political and institutional embeddedness (PIE) operates as a strategic mechanism shaping multinational enterprises’ (MNEs) location decisions in non-core regions in emerging economies.Design/methodology/approachDrawing on location theory and economic sociology, the analysis is based on semi-structured interviews with representatives from BMW, a German automaker that set up a production unit in Santa Catarina, a non-core Brazilian state.FindingsResults reveal that MNEs develop PIE prior to foreign direct investment (FDI) as a strategic choice, influencing their location decisions. PIE moderates the effect of conventional determinants in non-core regions and mitigates the impact of host-country complexity, contributing to the creation and/or exploitation of ownership, location and internalization advantages.Research limitations/implicationsThe findings indicate that MNEs strategically build PIE pre-FDI, which accelerates MNEs’ learning about non-core locations and deepens the construction of social and political networks. Analysing the relative importance of firm characteristics and contextual factors is still necessary. The authors recomend investigating how resources generated from PIE impact perceived distance at the national level.Practical implicationsThe results suggest that MNEs can strategically manage their pre-FDI choices through PIE, enabling diversification of subnational location strategies. The study also highlights elements that can inform public policies aimed at attracting and retaining FDI at the subnational level.Originality/valueThe authors advance beyond conventional economic and institutional factors and analyze embeddedness pre-FDI. They integrate conventional determinants and PIE, examining their synergy and capturing their effects in isolation and interaction.
PurposeThe absence of environmental transformational leadership in many organizations may contribute to environmental destabilization. Therefore, the purpose of this study is to examine the impact mechanism of environmental transformational leadership on employees' pro-environmental behaviors.Design/methodology/approachData were randomly collected from employees via self-administered questionnaires, and 216 valid responses were analyzed using the PROCESS Macro Model 4. The measurement instruments used in this study were adapted from previous studies that had been validated via exploratory factor analysis in the context.FindingsThe study found that the inspirational aspect of environmental transformational leadership is beneficial for employees' autonomous environmental motivation and pro-environmental behaviors. These findings confirm that transformational leadership is a multidimensional, reflective-formative construct.Research limitations/implicationsThe present study contributes to the environmental sustainability literature by empirically examining the proximate effect of ETL on AEM in nonprofit, environmentally sustainable organizations. By empirically testing the hypothesized relationship, this study advances the literature, which has so far lacked empirical validation in this context. Furthermore, the study integrates two distinct theoretical perspectives, transformational leadership and self-determination, into a unified framework, confirming its applicability in the field of environmental sustainability. The findings also confirm that ETL is a higher-order reflective-formative construct, thus addressing a gap in the conceptualization of leadership constructs in sustainability studies.Practical implicationsAs the inspirational aspect of environmental transformational leadership is positively linked to employees' pro-environmental behaviors, organizations should prioritize identifying and hiring leaders who demonstrate strong inspirational environmental motivation. To become more ecosystem-friendly, human resource departments in environmentally sustainable organizations should develop selection criteria that emphasize this attribute when evaluating managerial candidates.Social implicationsBy encouraging environmental transformational leadership, organizations can foster a culture of sustainability that extends beyond the workplace, thereby contributing to broader societal awareness and advancing the United Nations Sustainable Development Goals related to environmental protection.Originality/valueThere has been a lack of consensus among scholars on whether, and if so, how environmental transformational leadership is effective in triggering environmental sustainability in organizations.
PurposeThe purpose of this paper is to identify and assess the influence of behavioral change agents for adopting green innovation to enhance sustainability performance.Design/methodology/approachThis paper employed a quantitative approach by disseminating a structured questionnaire to 141 supply chain professionals of manufacturing firms who are familiar with green innovation, operating in the metropolitan city of Pakistan, i.e. Karachi. Later, exploratory and confirmatory factor analyses were performed to evaluate the reliability and validity of the model. Lastly, SmartPLS was used to test the proposed hypotheses in the study.FindingsThe findings revealed that green transformational leadership, acceptance of change and work culture showed a significant impact on green innovation leading toward sustainable performance.Research limitations/implicationsThe authors suggest that green innovation is a prime factor for enhancing a firm’s sustainability in the market and supply chain, requiring continuous improvement efforts from supply chain professionals.Practical implicationsThe findings can help decision-makers to increase the efficiency and production of the organization and provide support to green policy-makers. It also empowers employees and fosters green awareness, ultimately generating benefits that serve the company’s best interests.Social implicationsThe study supports a shift toward sustainable behavior, encouraging organizations to contribute positively to society and the environment. Empowering change agents can catalyze pro-environmental attitudes and behaviors, ultimately encouraging organizations to adopt eco-friendly innovations for broader societal and environmental well-being.Originality/valueThis paper is an initial effort to assess organizational behavioral change on green innovation for enhancing the sustainable performance of manufacturing firms in Pakistan.
PurposeThis study aims to examine the trajectories through which individuals evolve into prosumers, focusing on the transition from personal practices to collective influence through social media.Design/methodology/approachThis study used a multimethod qualitative approach, combining netnography and in-depth interviews, to analyze prosumer profiles on Instagram and YouTube. This allowed for real-time observation of prosumption activities, interactions and the development of practices within digital communities.FindingsThe findings reveal a transformation trajectory comprising three interconnected spheres of prosumption: individual prosumption, collective prosumption and professional prosumption. Each sphere is associated with specific triggers, skill development, challenges and accomplishments. Based on these dimensions, the authors introduce the Prosumer Trajectory Framework.Research limitations/implicationsThis study contributes to the prosumption literature by mapping distinct developmental pathways and highlighting the diverse motivations and processes that shape prosumption within digital environments.Practical implicationsThe insights offer practical value to companies and managers seeking to engage with prosumers. By understanding the different stages of their trajectories, organizations can design targeted actions and foster strategic partnerships.Social implicationsThis study highlights the growing cultural influence of prosumers, demonstrating how social media facilitates community building and enhances consumer agency in shaping collective influence.Originality/valueBy delineating the spheres of the prosumer trajectory, this research advances the conceptualization of prosumption as a transformative process. It offers a unique perspective on how individual, offline practices evolve into digital, public and potentially professional forms of engagement within the contemporary marketplace.
PurposeThe purpose of this study is to apply the Elaboration Likelihood Model (ELM) to examine persuasive information processing in live streaming commerce (LSC). This study examines the impact of streamer credibility, viewer mindfulness and control variables (age, gender, viewing frequency and subscription status) on purchase and response intentions in the Indonesian context.Design/methodology/approachThis study uses Partial Least Squares Structural Equation Modeling to analyze responses from 372 individuals aged 18–45 years who had watched or purchased through LSC within the past month. The model incorporates streamer expertise and sociodemographic control variables.FindingsThe peripheral route, driven by streamer credibility (trustworthiness, attractiveness and expertise) and co-viewer engagement, strongly influences the persuasiveness of information more than the central route. Viewers are more influenced by social cues than by the quality of product information. Mindfulness does not significantly moderate the relationship between perceived persuasiveness and either purchase or response intention. However, younger, active subscribers demonstrate a higher likelihood of engagement.Research limitations/implicationsThese findings contribute to practical enhancements in streamer branding and digital trust-building strategies, enabling LSC platforms to optimize content and strengthen collaborations with streamers and key opinion leaders, thereby increasing purchase and response intentions.Practical implicationsThe findings of this study offer actionable recommendations for brands and streamers, including strategies to enhance streamer appeal and create persuasive content that resonates with target audiences.Social implicationsThis study fosters stronger, trust-based interactions between streamers and their audiences, promoting inclusive digital economic growth across diverse demographic segments in Indonesia.Originality/valueBy integrating ELM with streamer credibility, mindfulness and sociodemographic factors, this study provides novel insights into viewer behavior in Indonesia’s emerging LSC landscape.
PurposeThis article aims to investigate the relationship between business model adaptation, company performance and digitalization capability among startups during the coronavirus disease-2019 pandemic to determine whether there is a correlation among these aspects in uncertainty scenarios.Design/methodology/approachThe research used a mixed approach. First, it utilized a survey-based data collection method in which over 400 Brazilian startups participated, representing diverse demographic and cultural characteristics. Following the data analysis, the authors interviewed startup founders who participated in the first phase to enrich the discussion section.FindingsThe results revealed that startups with stronger digital capabilities and higher performance were associated with lower levels of business model adaptation. However, this association was observed primarily in the dimensions of value creation and value capture, and not in value delivery.Research limitations/implicationsThe limitation of this study includes the cross-sectional data collection, which prevents the assessment of causality between variables.Practical implicationsThe findings suggest that startups should carefully evaluate their business models and adaptation strategies during uncertain periods.Social implicationsThe social implications of this study lie in supporting public policies and initiatives for entrepreneurship and startups. Government agencies and support institutions can use the findings to better understand the challenges faced by startups during uncertain times, effectively guiding their assistance and resources.Originality/valueThis research contributes to the literature on business models and digitalization capability. It offers insights into the interplay between performance, digital capabilities and business model adaptation. Furthermore, the study contradicts the common sense that businesses should favor adaptation in uncertain moments, at least for startups in similar contexts.
PurposeThe paper aims to identify suitable conditional variance models for the estimation and forecasting of cryptocurrency returns volatility.Design/methodology/approachThe methodology comprises the use of GARCH-family models estimated by maximum likelihood considering different scedastic functions, number of parameters and error distributions. A cross-validation approach is conducted under different market dynamics to provide robust results.FindingsResults indicated that the best GARCH methods for digital coins volatility modeling and forecasting are those associated with a small number of parameters, allowing for asymmetric volatility behavior and considering normal/student distributions.Research limitations/implicationsThe findings indicated that volatility behaves differently for each evaluated cryptocurrency, and the selection of the best scedastic function depends on the corresponding digital coin more than the period under evaluation.Practical implicationsInvestors should prefer parsimonious GARCH structures when modeling and forecasting cryptocurrency volatility, and must consider the current state of the market as the methods lose accuracy in high-volatile periods.Social implicationsThe work provides a better understanding of the volatility dynamics of cryptocurrencies, providing evidence of more accurate tools for risk management in this volatile market. Further, better-informed investors on the risks associated with this market are less susceptible to high price variations.Originality/valueThe research presents an extensive experimental study to identify the optimal GARCH structure for modeling and forecasting return volatility in digital currencies, considering various market conditions and digital coins, which yields more robust results.
Purpose The paper aims to develop a pioneering assessment index for private policies targeting food loss and waste (FLW) reduction. Design/methodology/approach Starting with a review of seminal works on FLW, identifies variables related to corporate actions addressing FLW, process efficiency and sustainability. This process ensures that the developed indicators are robust, adaptable and suitable for diverse food processing organizations. The model’s applicability is enhanced by its alignment with publicly disclosed corporate reports, allowing a practical interface between theoretical development and market realities. Findings Introduces eight strategic indicators for evaluating private policies, FLW reduction policies, process innovations, measurement methodologies, partnerships, environmental actions, communication and the use of natural resources (water and energy). These indicators enable a nuanced evaluation of how organizations operationalize FLW strategies in markets with varying levels of development. Research limitations/implications The indicators’ effectiveness may vary depending on sectoral and regional specificities. Although this study focuses on food processing organizations, the model’s adaptability to different industries and geographical contexts offers potential avenues for further exploration. Practical implications The model provides organizations with a robust tool to monitor and refine FLW reduction strategies using transparent, evidence-based metrics. The indicators can evaluate organizational actions comparatively, across different entities or overtime, facilitating continuous improvement. Social implications Implementing FLW prevention strategies at the organizational level improves efficiency, reduces costs and promotes equitable resource allocation and environmental preservation. By applying these indicators, companies can enhance their contributions to societal goals. Originality/value An unprecedented assessment model tailored to private FLW policies, filling a critical gap in the literature. Its originality lies in its ability to operationalize sustainability in corporate contexts, enabling stakeholders to evaluate actions consistently across markets with diverse developmental profiles. The indicators’ versatility underscores their potential as a transformative tool for researchers, practitioners and policymakers.
Purpose This study aims to examine the relationship between the social value of really new products (RNPs), particularly technological ones, and the intention to consume this type of product when the individual’s materialistic motivation moderates this relationship. Design/methodology/approach To achieve this objective, this study conducted a quantitative and exploratory study using non-probabilistic data collection with 211 interviewees online. A self-administered questionnaire on a fictional technological RNP (a smartphone) designed with numerous innovative features was used. The partial least squares structural equation modeling (PLS–SEM) technique was used to verify the relationships proposed in the conceptual model. Findings The results show that the social value proposition as a second-order variable, reflecting the construct’s perceived prestige and perceived conspicuity, affects the consumption intention, being enhanced by the moderation of materialistic motivation. Research limitations/implications The findings enhance the theoretical comprehension of the significance of social value in the context of RNPs, particularly technological ones, and provide evidence that materialistic motivation is a key moderator in the proposed model. As a limitation, this study is characterized as correlational and not generalizable. Furthermore, causal studies (experimental, for example) and longitudinal studies are needed to validate the effects of the constructs proposed in this model and to understand the effects of other possible intervening variables in the conceptual relationships proposed in the model. Practical implications From a managerial standpoint, developers of this type of product, marketing managers and advertising agents ought to consider the degree of conspicuity of the product and the prestige features to generate social value, always focusing on the willingness of individuals to acquire products. Social implications The study examines how RNPs can provide social value, acting as functional tools and as means of social expression. This can encourage the adoption of technologies that bring symbolic and status value to consumers, which reflects a change in consumer behavior, where technology is seen as a symbol of prestige and social differentiation. Furthermore, products with prestige features can contribute to strengthening the social identity of individuals within their social groups. Originality/value The study adds to the existing literature by arguing that RNPs can possess societal significance, challenging the notion that technological products are merely functional and demonstrating that the prestige and conspicuity characteristics of RNPs can boost consumption intention, particularly among individuals with a strong materialistic motivation. The proposed model presents a novel perspective, demonstrating that the social value of products is comprised of the amalgamation of conspicuity and prestige and how these factors influence the adoption of RNPs in the market.
Purpose This study aims to investigate the relationships between ethical behaviour, perceived organisational support (POS) and organisational performance within Nigeria’s Federal Ministry of Labour and Employment (FMLE). Design/methodology/approach This study uses a positivist philosophy using survey data collected from 127 FMLE employees. Structural equation modelling with partial least squares estimation was used to analyse the data and test the hypotheses. Findings The results support the hypotheses, indicating that ethical behaviour and POS positively affect organisational performance. Furthermore, job satisfaction and organisational commitment are confirmed to act as mediating mechanisms in these relationships. Research limitations/implications This study extends the application of the Organisational Support Theory to the public sector context, specifically within the FMLE domain. It demonstrates the relevance of this theory in understanding the complex interplay between ethical conduct, POS and organisational performance in the public sector. Practical implications The findings suggest that by promoting ethical behaviour and fostering a supportive organisational environment, the FMLE can enhance employee job satisfaction and organisational commitment, ultimately contributing to improved organisational performance. Social implications Improving the performance of the FMLE through ethical practices and organisational support can lead to better regulation of the labour market, ensure fair labour practices and promote social justice and economic growth in Nigeria. Originality/value This study uniquely applies Organisational Support Theory to the Nigerian public sector, specifically the FMLE. It provides valuable insights into how ethical behaviour and POS influence organisational performance in a context that has received comparatively less scholarly attention than the private sector.
