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The direct selling model adopted in the beauty and cosmetics industry puts female consumer entrepreneurs at the heart of the business model. A neglected phenomenon in female entrepreneurship, this study aims to focus on female sales agents’ capabilities that are linked to sales performance and examine which capabilities might be shaped and enhanced through coaching and training in an emerging economy context.

Survey data were generated from a sample of 249 female sales agents who agreed to participate in a coaching and training programme run by a focal firm. Data were collected in two phases to investigate the capabilities linked to sales performance pre-intervention and the impact of coaching and training on the relationships between the capabilities and sales performance post-intervention. The time-lag data were analysed using partial least squares structural equation modelling.

For female sales agents, self-efficacy and sales experience have a significant positive effect on adaptive sales performance both before and after the coaching and training intervention. In contrast, intellectual capital and self-motivation had a non-significant relationship with sales performance before the intervention. However, after the intervention, the relationship between these variables became positive and significant.

The study demonstrates the effects of pre- and post-coaching and training on female consumer entrepreneurs’ capabilities and the links to sales performance. These findings add critical empirical knowledge on how female consumer entrepreneurship may be developed and the role of entrepreneurship for female empowerment in the Asian context. Collectively, the findings bring to the fore the female sphere in consumer entrepreneurship research in emerging economies.

The purpose of the study was to benchmark meta-analytical conceptualizations of business-to-business (B2B) seller skills against empirical evidence in services firms.

The study is based on a deductive approach and questionnaire survey focusing on a range of services firms from different industries and corporate sizes. A total of 389 questionnaires out of 732 were returned, generating a response rate of 53.1%.

The study aims to provide empirical evidence and structures relating to B2B sellers' capabilities in a seven-dimensional conceptualization, all of which can be used in services firms to improve their seller efficiency. Each seller skill dimension performs a different function in the sales services process.

The authors conclude that the verified meta-analytical conceptualizations of B2B seller skills seem valid and reliable in services firms. Nevertheless, further research needs to be carried out, based on other company characteristics as well as industries.

It reduces the risk perceived by customers in B2B services settings through cultivating the sellers' capabilities, based on the seven-dimensional evidence of seller skills to enhance sales performance.

The study contributes to existing theory and previous studies by offering a foundation on which to structure sales performance indicators in services firms. Specifically, it contributes to structuring B2B seller skills across a selection of principal dimensions in B2B services settings.

This study aims to extend and explore patterns and trends of research in the linkage of big data and knowledge management (KM) by identifying growth in terms of numbers of papers and current and emerging themes and to propose areas of future research.

The study was conducted by systematically extracting, analysing and synthesizing the literature related to linkage between big data and KM published in top-tier journals in Web of Science (WOS) and Scopus databases by exploiting bibliometric techniques along with theory, context, characteristics, methodology (TCCM) analysis.

The study unfolds four major themes of linkage between big data and KM research, namely (1) conceptual understanding of big data as an enabler for KM, (2) big data–based models and frameworks for KM, (3) big data as a predictor variable in KM context and (4) big data applications and capabilities. It also highlights TCCM of big data and KM research through which it integrates a few previously reported themes and suggests some new themes.

This study extends advances in the previous reviews by adding a new time line, identifying new themes and helping in the understanding of complex and emerging field of linkage between big data and KM. The study outlines a holistic view of the research area and suggests future directions for flourishing in this research area.

This study highlights the role of big data in KM context resulting in enhancement of organizational performance and efficiency. A summary of existing literature and future avenues in this direction will help, guide and motivate managers to think beyond traditional data and incorporate big data into organizational knowledge infrastructure in order to get competitive advantage.

To the best of authors’ knowledge, the present study is the first study to go deeper into understanding of big data and KM research using bibliometric and TCCM analysis and thus adds a new theoretical perspective to existing literature.

Industry 4.0 or I4.0 has transformed the manufacturing landscape by integrating social and technical factors by means of the sociotechnical framework. However, the sociotechnical aspects of digitalization of total quality management (TQM 4.0), especially in small and medium enterprises (SMEs) remain largely unexplored. This groundbreaking research endeavors to delve into the pivotal role played by social (soft) and technical (hard) TQM 4.0 in driving I4.0 readiness among SMEs.

A research framework has been developed by harnessing the principles of Socio-technical systems (STS) theory. Data collection from a sample of 310 randomly selected SMEs manufacturing in Malaysia through an online survey approach. The collected data is then subjected to analysis using Partial Least Square-Structural Equation Modeling (PLS-SEM) through SmartPLS.

The study findings indicate that both hard and soft TQM 4.0 factors are vital to promoting I4.0 readiness (R² = 0.677) and actual implementation (R² = 0.216). Surprisingly, the findings highlight that customer-related construct has no impact on hard TQM 4.0 attributes. Furthermore, hard TQM 4.0 factors have played a partial mediating role on the relationship of soft TQM 4.0 and I4.0 attributes (20% = VAF = 80%).

This is a novel research as it explores the underexplored domain of sociotechnical aspects of TQM 4.0 within SMEs amid I4.0 transformation. The study distinctive contributes include revealing the pivotal role of both soft and hard TQM 4.0 factors in driving I4.0 readiness, emphasizing the primacy of people-related dimensions for successful implementation in manufacturing SMEs.

In the era of digitalization, digital technology has transformed businesses and created enormous opportunities for organizations worldwide. Unsurprisingly, research on digital transformation has garnered significant interest among academics in recent decades. However, this study aims to recognize the key and holistic antecedents influencing digital transformation in manufacturing firms. This study also investigates the indirect relationships of antecedents with firm performance.

The hypothesis was investigated using the partial least squares structural equation modeling (PLS-SEM) approach. The data was collected from 279 employees through a self-administered survey of manufacturing firms.

The results described a significant and positive impact of competitive pressure, leadership role, organization culture, organization mindfulness, government regulation, and IT readiness on digital transformation and firm performance. Furthermore, digital transformation partially mediates the relationship between antecedents and firm performance.

The study finds a holistic perspective of the critical antecedents of digital transformation using the mediation role of digital transformation and moderating effects of firm agility. Additionally, all antecedents have a significant association with Firm Performance.

This paper aims to draw on the Dynamic Capabilities View to discuss how small and medium enterprises (SMEs) use digital technologies to develop digital capabilities that will enable them to change their current business model and trajectory, that is, to pivot-within turbulent environments, and subsequently to survive and grow.

The authors collected and analysed qualitative data from 26 SMEs in South-East England that have used digital technologies to pivot during the pandemic. The data was collected via in-depth semi-structured interviews. The authors analysed the data by creating first-order concepts, second-order themes, and aggregating dimensions.

The findings suggest that (1) digital technologies enable pivoting by facilitating the creation of the following digital capability types: “digital sensing”, “digital seizing” and “digital transforming”; (2) Each of these digital capability types is underpinned by micro-foundations (sub-capabilities) and shaped by the digital culture of the organisation. (3) these capabilities are triggered by the turbulent environment and the existing digital technologies, and are shaped by the digital culture.

The authors contribute to the literature of digital entrepreneurship as the authors illustrate (1) how the micro-foundations of digital capabilities, as facilitated by digital technologies, assist pivoting; and (2) the process from key activities during pivoting to second-order themes that represent micro-foundations to digital (dynamic) capabilities for pivoting in turbulent environments. The study highlights the importance of digital pivoting for businesses in the UK Southeast that have many aspirations for growth and innovation, whilst striving to address multiple challenges including digital divide and literacy, inflation and cost of living crisis, as well as supply chain issues.

This study aims to examine the impact of Lean 4.0 practices on value co-creation in the dairy ecosystem.

Data collection were carried out through a questionary application with 126 professionals linked to the dairy ecosystem, including milk producers, milk cooperatives and milk transporters. The data were analyzed using Cluster Analysis, Mann-Whitney test and Chi-Square test.

A strong relation was found between the use of Lean 4.0 tools and the increase in operational performance, in addition to milk quality. Moreover, it can be noted that the use of digital technologies from Industry 4.0 has a strong relation with dairy production optimization, in other words, it is possible to be more efficient in the dairy process via Lean 4.0 adoption.

The study is limited to analyzing the Brazilian dairy ecosystem. The results presented may not reflect the characteristics of the other countries.

Once the potential empirical impacts of the relation between Lean 4.0 and value co-creation are elucidated, it is possible to direct strategies for decision-making and guide efforts by researchers and professionals to deal with the waste mitigation present in the dairy sector.

Lean 4.0 proves to be a potential solution to improve the operational performance of the dairy production system. Lean 4.0, linked to value co-creation, allows the integration of the production sector with consumers, through smart technologies, so new services and experiences can be provided to the consumer market. Additionally, the consumer experience can be stimulated based on Lean 4.0, once the quality specification is highlighted based on data science and smart management control.

To the best of the authors’ knowledge, this is the first study that analyzes the interrelationship between the Lean 4.0 philosophy and the value co-creation in the dairy ecosystem. In this sense, the study reveals the main contributions of this interrelation to the dairy sector via value co-creation, which demonstrates a new perspective on the complementarity of resources, elimination of process losses and new experiences for the user through digital technologies integrated with the Lean Thinking approach.

The aim of this paper is to theoretically explore the concept of leadership in a Total Quality Management (TQM) context by developing a new theoretical framework of understanding Total Quality Leadership (TQL) as well as by opening the dialogue in researching further key elements of TQL.

The approach that the paper adopts is conceptual. Based on exploration of the wider management and leadership literature of empirical and theoretical studies, this paper develops a framework of TQL.

The suggested TQL framework is composed by three main pillars, namely the proactive, adaptive and the relational. The former consists of elements like anticipation of current business environment complexities and filtering of information that enhances practice decision making. The second pillar refers to adaptation, autonomy and feedback while the last one emphasises on the importance of aspects like social interactions, engagement and empathy. The paper explains why the specific pillars with the additional elements are critical for TQM success.

Given the tremendous challenges that organisations face due to increased complexity and demanding competition of the business environments globally, the role of leadership as the major “soft” aspect of TQM approach, seems to be vital more than ever. But the type of TQL appropriate to enhance total quality success nowadays, is still (and should be) under continuous exploration. This conceptual study attempts to provide new theoretical insights of TQL as well as to open the dialogue around the main elements consisting of TQL and how the future research agenda is formulated.

Smart manufacturing is revolutionizing the manufacturing industry by shifting the focus from traditional manufacturing to a more intelligent, interconnected and responsive system. Despite being the backbone of the economy and despite the government’s efforts in supporting and encouraging the transformation to smart manufacturing, small and medium enterprises (SMEs) have been struggling to transform their operations. This study aims to identify the challenges for SMEs’ transformation and the benefits they can get from this transformation, following a systematic review of existing literature.

A systematic review of existing literature has been performed to identify the peer-reviewed journal articles that focus on smart manufacturing for SMEs. First, a comprehensive list of keywords relevant to the review questions are identified. Second, Scopus and Web of Science databases were then used to search for articles, applying filters for English language and peer-reviewed status. Third, after manually assessing abstracts for relevance, 175 articles are considered for further review and analysis.

The benefits and challenges of SMEs’ transformation to smart manufacturing are identified. The identified challenges are categorized using the Smart Industry Readiness Index (SIRI) framework. Further, to address the identified challenges and initiate the SME’s transition toward smart manufacturing, a framework has been proposed that shows how SMEs can start their transition with minimum investment and existing resources.

Several studies have concentrated on understanding how smart manufacturing enhances sustainability, productivity and preventive maintenance. However, there is a lack of studies comprehensively analyzing the challenges for smart manufacturing adoption for SMEs. The originality of this study lies in identifying the challenges and benefits of smart manufacturing transformation and proposing a framework as a roadmap for SMEs' smart manufacturing adoption.

The authors explore the entanglement of smartphone technology and power in this paper. This paper explores the following question: In what ways does the actualization of smartphone affordances result in empowering outcomes (i.e. increase or reduce oppression) in the daily lives of refugees? Leveraging both affordance and feminist theories, the authors develop a hybrid lens bringing attention to the contextualized relationship between social process goals and affordances for sociality, upon which the authors introduce the notion of “goal-affordance interrelations”. The authors then trace how the actualization of these interrelations increases or reduces oppression.

Using an abductive approach, the authors analyze 32 semi-structured interview transcriptions conducted with Syrian refugees in Lebanon.

The analysis in this study reveals four categories of social process goals (meet financial needs, satisfy security needs, communicate and learn and maintain pre-existing social ties) that are intimate components of contextually meaningful affordances. When actualized, the goal–affordance interrelations fundamentally shape refugee experiences of power outcomes. The findings suggest forms of empowerment where powerlessness, marginalization, violence and exploitation are perceived to be reduced. Actualization outcomes are also found to increase perceived oppression. Additionally, the findings reveal that not all interrelations are actualized, such that the anticipation of an oppressive power outcome may limit the actualization of affordances for sociality.

This research raises considerations concerning technology and oppression, and that efforts to empower refugees through technology should critically question whether the lived experiences of oppression will be reduced. The findings of this study reveal various forms of less empowering (i.e. oppressive) outcomes for the refugees sampled, they also point to the potential politicization of the actualization of goal–affordance interrelations.