Arthur Larocca, Milton Borsato, Pablo Kubo and Carla Estorilio
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main…
Abstract
Purpose
Although organizations have more data than ever at their disposal, actually deriving meaningful insights and actions from them is easier said than done. In this concern, the main objective of this study is to identify trends and research opportunities regarding data management within new product development (NPD) and collaborative engineering.
Design/methodology/approach
Bibliometric and systemic analyses have been carried out using the methodological procedure ProKnow-C, which provides a structured framework for the literature review. A bibliographic portfolio (BP) was consolidated with 33 papers that represent the state of art in the subject.
Findings
Most recent researches within the BP indicate new trends and paradigm shifts in this area of research, tackling subjects such as the internet of things, cloud computing, big data analytics and digital twin. Research gaps include the lack of data automation and the absence of a common architecture for systems integration. However, from a general perspective of the BP, the management of experimental data is suggested as a research opportunity for future works. Although many studies have tackled data and collaboration based on computer-aided technologies environments, no study examined the management of the measured data collected during the verification and validation stages of a product.
Originality/value
This work provides a fresh and relevant source of authors, journals and studies for researchers and practitioners interested in the domain of data management applied to NPD and collaborative engineering.
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Taghreed Al Dari, Fauzia Jabeen and Avraam Papastathopoulos
The purpose of this paper is to examine the impact of leadership and rewards on the contribution to knowledge sharing in public organizations of the United Arab Emirates (UAE).
Abstract
Purpose
The purpose of this paper is to examine the impact of leadership and rewards on the contribution to knowledge sharing in public organizations of the United Arab Emirates (UAE).
Design/methodology/approach
Data were collected from 154 employees from various organizational units of a law enforcement organization in the UAE, and structural equation modeling was used to test the proposed hypotheses.
Findings
Leadership inspiration was found to be positively effective in enhancing the contribution of knowledge sharing in terms of solving problems, increasing opportunity and improving the productivity of the workforce. Furthermore, it was found that the reward system had no impact on the contribution to knowledge sharing.
Research limitations
The method of data collection focused on the employees who were attending a training workshop in the department. This survey raises concerns related to non-response bias and common method bias, which describes the measurement error that is compounded by the sociability of the respondents who wanted to provide positive answers.
Practical implications
This research focuses on the implementation of certain practices related to knowledge sharing in public organizations. The model was constructed to assess the impact of leadership and rewards on the contribution to knowledge sharing through knowledge sharing practices as a mediation. The study is a modest attempt to assist the organizational leaders to embark on the right steps to foster knowledge sharing behavior among employees.
Originality/value
The study contributes to the literature on knowledge sharing, particularly on the relationship between leadership inspiration, rewards and contribution to knowledge sharing in the law enforcement organizations in the UAE.
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Andre Albuquerque, Claudia Becerra, Fagner José Coutinho de Melo and Denise Dumke de Medeiros
The aim of this research is to propose a quantitative approach to evaluating the quality of services provided, helping organizations to make strategic decisions by better…
Abstract
Purpose
The aim of this research is to propose a quantitative approach to evaluating the quality of services provided, helping organizations to make strategic decisions by better understanding the characteristics that satisfy consumers.
Design/methodology/approach
The approach was based on the integration of the Kano model with SERVQUAL, adapted by the satisfaction equations of Albuquerque et al. (2022) and fuzzy systems theory. Through this, it was possible to infer which attributes influence customer satisfaction, identifying the ranges of satisfaction and, with the help of fuzzy, reducing the imprecision of customer perceptions.
Findings
A total of 42% of the attributes were classified as unidimensional, with attribute 11 (Reliability) and attribute 9 (Courtesy) having the highest satisfaction values. Attractive attributes accounted for 38% of the sample, with attribute 29 (Variety of products) and attribute 7 (Location) having the greatest impact on satisfaction. On the other hand, attribute 30 (Order Delay) and attribute 31 (Waiting for payment) caused more dissatisfaction among consumers (ranges −0.6, −0.71, respectively). In addition, Variety of products was the most satisfactory, while Order Delay generated the most dissatisfaction among users.
Originality/value
The originality of this research lies in its contribution to organizations in relation to the services offered by investigating a gap in the studies that use the Kano model, integrated with SERVQUAL, which do not include reverse attributes in their equations and analyses. With the help of fuzzy sets, the subjectivity of the individual can be translated into data for greater clarity of information.
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Amaia Maseda, Txomin Iturralde, Gloria Aparicio and Sarah Y. Cooper
This study aims to underline the importance of addressing gender issues in family firms. It reinvigorates research in this field by revealing its current state, identifying…
Abstract
Purpose
This study aims to underline the importance of addressing gender issues in family firms. It reinvigorates research in this field by revealing its current state, identifying research gaps and suggesting future agendas.
Design/methodology/approach
A bibliometric approach using a co-word analysis of 376 papers from the Web of Science database and their 885 keywords was performed to reveal the thematic structure of gender and family firm research, research topics, associations among them and their evolution over the last 30 years (1991–2021).
Findings
This review provides an extensive literature base and suggests research topics that facilitate the adoption of a gendered lens in family firm literature and business practice.
Research limitations/implications
This review demonstrates how gender issues are intertwined with management, leadership and family firm approaches. Our observations inform scholars, policymakers and practitioners on the need to integrate gender issues into organizational culture and to connect empowerment strategies with the sociocultural environment.
Originality/value
This study shows the need to address women’s empowerment in business, considering different sociocultural contexts in addition to a Western focus. It also calls for embracing gender and feminist perspectives in research.