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The purpose of the study is to discover a model of knowledge conversion and knowledge transferring/sharing barriers in an entrepreneurial team (ET) working with innovative users at the early and fuzzy front end (FFE) stage of collaborative product design (Co-PD) process.

The exploratory research framework included sampling, data collection and data analysis, through sequential levels of categorizations, undertaken jointly with constant comparative analysis. The sample frame is the pool of ETs/startups from university business accelerators that carry out Co-PD at the FFE stage. The research survey is based on observations of the collaborative ETs activities, questionnaires and in-depth interviews with them. The research was conducted on individual and team levels when Co-PD process and ET activities were in progress.

This study identified specific set of concepts of knowledge conversion and transferring/sharing and their barriers that reflect specificity of Co-PD processes at the FFE stage in collaborative ETs. The discovered conversion process is represented by the socialization, externalization and internalization, three-mode knowledge conversion model. The significance of barriers and frequency of their occurrence were measured in knowledge transferring/sharing in collaborative ETs on individual and team levels.

This study shows novel insights into how knowledge transfers/shares and converts in the context of ET working with innovative users in Co-PD process at the FFE stage.

Purchase conversion prediction aims to improve user experience and convert visitors into real buyers to drive sales of firms; however, the total conversion rate is low, especially for e-retailers. To date, little is known about how e-retailers can scientifically detect users' intents within a purchase conversion funnel during their ongoing sessions and strategically optimize real-time marketing tactics corresponding to dynamic intent states. This study mainly aims to detect a real-time state of the conversion funnel based on graph theory, which refers to a five-class classification problem in the overt real-time choice decisions (RTCDs)—click, tag-to-wishlist, add-to-cart, remove-from-cart and purchase—during an ongoing session.

The authors propose a novel graph-theoretic framework to detect different states of the conversion funnel by identifying a user's unobserved mindset revealed from their navigation process graph, namely clickstream graph. First, the raw clickstream data are identified into individual sessions based on a 30-min time-out heuristic approach. Then, the authors convert each session into a sequence of temporal item-level clickstream graphs and conduct a temporal graph feature engineering according to the basic, single-, dyadic- and triadic-node and global characteristics. Furthermore, the synthetic minority oversampling technique is adopted to address with the problem of classifying imbalanced data. Finally, the authors train and test the proposed approach with several popular artificial intelligence algorithms.

The graph-theoretic approach validates that users' latent intent states within the conversion funnel can be interpreted as time-varying natures of their online graph footprints. In particular, the experimental results indicate that the graph-theoretic feature-oriented models achieve a substantial improvement of over 27% in line with the macro-average and micro-average area under the precision-recall curve, as compared to the conventional ones. In addition, the top five informative graph features for RTCDs are found to be Transitivity, Edge, Node, Degree and Reciprocity. In view of interpretability, the basic, single-, dyadic- and triadic-node and global characteristics of clickstream graphs have their specific advantages.

The findings suggest that the temporal graph-theoretic approach can form an efficient and powerful AI-based real-time intent detecting decision-support system. Different levels of graph features have their specific interpretability on RTCDs from the perspectives of consumer behavior and psychology, which provides a theoretical basis for the design of computer information systems and the optimization of the ongoing session intervention or recommendation in e-commerce.

To the best of the authors' knowledge, this is the first study to apply clickstream graphs and real-time decision choices in conversion prediction and detection. Most studies have only meditated on a binary classification problem, while this study applies a graph-theoretic approach in a five-class classification problem. In addition, this study constructs temporal item-level graphs to represent the original structure of clickstream session data based on graph theory. The time-varying characteristics of the proposed approach enhance the performance of purchase conversion detection during an ongoing session.

This study aims to examine individual-specific market orientation as an innovative approach and its relationship with marketing skills among artisan entrepreneurs in India.

The study adopted an in-depth interview to explore variables, a questionnaire survey to understand their latent dimensions through exploratory factor analysis and structural equation modeling to test the relationship between constructs under study.

The interview result indicates that 20 variables explain factors affecting individual-specific market orientation with four latent dimensions: customer orientation, competitor orientation, external coordination orientation and personal selling orientation. There is a significant and positive relationship between customer orientation and personal selling orientation with the marketing skills of artisan entrepreneurs in India.

The study is confined to three southern states of India and weaving villages known for their endemic product specifications.

The study found significance in orienting artisan entrepreneurs of developing countries and equipping them with desired skills to meet the changing dynamics of the market and meet their livelihood needs. The study further supports policymaking in strengthening the capability of artisans to enter the market without mediators.

The model provides insight into other unorganized sectors to formulate innovative approaches to strengthen marketing skills and entrepreneurial ability.

As an exploratory study, examining individual-level market orientation as an innovative approach and their relationship with marketing skills among artisan entrepreneurs was unexplored in several unorganized sectors, including handlooms.

Knowledge-intensive entrepreneurial firms succeed when they can better marshal their knowledge resources into productive advantages, necessitating entrepreneurial orientation (EO) and knowledge management (KM) processes of knowledge acquisition, application, conversion and protection. However, configurations of EO and KM processes are unaccounted for in extant theory, and the differences between the operating context of knowledge-intensive entrepreneurial firms are unclear. Therefore, this study investigates the configurational combination of EO and KM processes in two different contexts as native and immigrant entrepreneurial firms.

Drawing on the knowledge-based theory, the authors apply fuzzy-set qualitative comparative analysis (QCA) and necessity analysis of QCA (NCA) to data from Malaysian native (N = 185) and immigrant (N = 146) service-oriented entrepreneurial firms.

The results demonstrate that immigrant entrepreneurial firms’ performance relies on knowledge processes of knowledge acquisition and application to ensure intelligent effectuation of EO; but for native entrepreneurial firms, the critical knowledge processes for performance success are knowledge conversion and protection. The NCA suggests that EO is critical for both firms; however, conjunctional causations differ based on KM processes.

This study enriches the emerging knowledge-based theory of the entrepreneurial-oriented firm by advancing the theory and conversation by revealing how EO, KM processes and context link in which the profile of the EO–performance relationship is configurationally dependent. The study advances the knowledge-based theory of entrepreneurially-oriented firms to account for entrepreneurship in context.

This paper aims to assess the design of national-level flexible work arrangement (FWA) policies, evaluating their potential to serve as an effective resource for employees to work flexibly depending on how they set the stage for flexibility claims that will be subject to industrial and workplace dynamics.

Using a capability approach, the authors conceptualize and operationalize two aspects of FWA policy design, namely accessibility and availability. The authors' analysis allows for an understanding of how the availability and accessibility of national FWA policies explicitly and implicitly restrict or facilitate flexible working in a structural manner. The study focuses on countries with differing working time regimes and gender norms on work and care: the Netherlands, Spain and Slovenia.

The authors' findings highlight how FWA accessibility is broader when national policy is specified and FWA availability is not conditional to care. In Spain and Slovenia, access to FWAs depends on whether employees have care responsibilities, which reduces accessibility and reinforces gender imbalances in care provision. In contrast, the Netherlands provides FWAs universally, resulting in wider availability and accessibility of FWAs for employees regardless of their care responsibilities. Despite this universal provision, gender imbalances remain.

The originality of this paper lies in its conceptualization and operationalization of FWAs at the national level using a capability approach. The study adds to the existing literature on flexible working and provides insights for policymakers to design more effective FWAs.

The Persons with Disabilities (PWDs) Act, 2006 (Act 715) was passed in Ghana to grant several rights to PWDs, including access to public services such as healthcare. This paper investigates the inequality in resources and then later assesses the effect of disability on healthcare utilization if all resources are distributed equally between disabled and not disabled persons.

The study uses data from the seventh round of the Ghana Living Standards Survey (GLSS 7), which was conducted in 2016/2017, and employs the estimation method of propensity score matching (PSM), within the framework of the capability approach (CA).

The findings are that there is a disparity in the resources and conversion factors needed to utilize healthcare. Compared to not disabled persons, persons living with disability are more likely to be poorer but pay more out of pocket because they are more likely to be uninsured. They are also older, male, uneducated and live in rural areas. They are also likely to spend more money but less time to travel to the health facility, and they wait longer to receive treatment. After matching these background characteristics, disability reduces healthcare utilization by 12.4%.

The research is limited by the lack of information about the reasons for seeking healthcare by the persons living with disability, whether it is for general treatment as any other person or for treating the disability.

Persons with disability are less endowed. However, even if they have the same resources as their abled counterparts, disability will still reduce healthcare utilization.

This paper identifies and addresses all forms of inequality with respect to healthcare utilization, within Amartya Sen’s Capability Approach.

Persons living with disability are less likely to seek treatment when ill. This is understandable since there is a disparity in the resources and conversion factors needed to utilize healthcare. However, after matching these background characteristics, just being disabled still reduces healthcare utilization. The paper uses Sen’s CA framework.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-02-2022-0084

This study aims to develop an original conceptual framework to guide research into knowledge transmission between professional external knowledge providers and their business clientele. As such, the framework aims to bridge a gap between theory and practice by explicating the processes which affect knowledge transmission and the conversion of knowledge for business application (i.e. knowledge transference).

Key concepts from disciplines of knowledge management, information management, communications, services marketing and business advice are reviewed and integrated into the development of this framework. Underpinned by a critical realist philosophical lens, it provides a robust research guide for examining business advisor knowledge actions in a changing open environment.

This study identifies that the process of knowledge transmission from a source external to a business is more complex than internal knowledge sharing. It addresses this complexity through a knowledge transmission framework, in a research design that is applicable to any methodological paradigm. Real-world application is identified in its applicability for evaluating mechanisms to facilitate knowledge transmission practices of external advisors to small business in regionally isolated communities.

The critical realist research methodology allows for causality in knowledge transmission to emerge; however, no assertion is made that the conceptual framework developed needs any particular philosophical paradigm for its application. Instead, what is asserted is that the research framework developed in this paper is specifically suited to the characteristics of external knowledge providers, their tacit knowledge and the businesses they service.

This study reconceptualises various theoretical perspectives and develops a sequential process for addressing a research lacuna by specifically examining the processes (or connections) between external business advisor’s knowledge and their advisory actions. With these processes clearly established, the role of external knowledge providers, as knowledge transmitters, deepens the understanding of knowledge transference that up until now has focused typically on internal organisation aspects.

The paper aims to propose and validate a process-based model to enhance managerial effectiveness among micro, small and medium enterprises (MSMEs). It has been observed that business uncertainties and inadequate financial resources that MSME entrepreneurs and managers face require them to constantly engage in strong self-awareness and self-regulating behavior to enhance the efficacy in their roles and, henceforth, their role performance effectiveness.

The approach for data collection was based on the clustering of MSMEs belonging to the clusters machine tool, pump manufacturing, foundry, textile and auto-component clusters in India. The respondents to the study were MSME entrepreneurs and managers who oversee and manage multiple functions like operations, quality, marketing, sales, supply chain management, procurement, personnel and administration and general administration.

The self-efficacy of entrepreneurial managers of MSMEs is observed to play an integral role in enhancing the efficacy of their roles, thus highlighting the use of a process-based perspective while dealing with constant resource constraints and excessive dynamism in their business contexts. The ability to handle multiple tasks effectively and resilience to manage challenges enhances their role-making process, which is significant in achieving and sustaining goal-oriented behavior among MSME entrepreneurs and managers.

This paper would serve as an effective model for entrepreneurs and managers to enhance their efficacy in the individual and interdependent role context, which would help achieve their individual and organizational goals. The model emphasizes a process-based perspective that thrusts the need to relate to the organizational context, enhancing individual confidence for goal-related behavior and fulfilling their role-related expectations.

This paper presents a model of enhancing managerial effectiveness that discusses self-efficacy as antecedent behavior. Here, personal and environmental factors aid cognition to one’s capability to construct reality, self-regulate, encode information and engage in effective managerial action.

The purpose of this paper is to investigate the generation of civic and public (C&P) engagement as an integrative outcome of a proper balance between emotional, rational and spiritual knowledge, via the mediation of interpersonal competencies.

The empirical analysis relies on a questionnaire-based survey conducted with 294 respondents from two knowledge-intensive organizations. Structural equation modeling, using Smart PLS 4, is used to analyze the data.

Individual knowledge can be considered as the refined outcome of the underlying transformations of various knowledge sources and resources, which is apposite for the next level of knowledge workers’ acumen. Individual knowledge – which relies on a good balance of rational, emotional and spiritual knowledge – exerts a positive effect on interpersonal competencies, wherein the latter positively influences the C&P engagement of knowledge workers.

Policymakers should capitalize on the development of strong interpersonal competencies; they should be able to understand the social mechanisms of motivating people, of stimulating, harnessing and channeling individual knowledge toward higher C&P as a prerequisite of value creation.

To the best of the authors’ knowledge, this is the first argumentative undertaking intended to explore the conversion of the three knowledge types into individual knowledge as a premise of interpersonal competencies development and as a relevant antecedent of C&P engagement. The results of this paper support that achieving balance in one's life is essential for increasing interpersonal competencies and C&P engagement. This study not only represents the first contribution to this debate but also helps managers and organizations to recognize that a good balance requires emotional, rational and spiritual knowledge.