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1 – 10 of 492Oscar F. Bustinza, Luis M. Molina Fernandez and Marlene Mendoza Macías
Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for…
Abstract
Purpose
Machine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).
Design/methodology/approach
The ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.
Findings
The analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.
Research limitations/implications
The analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.
Originality/value
The novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.
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The purpose of this mixed-methods explanatory sequential study was to assess the effects of an external wine education and certification program on trainee reactions, learning…
Abstract
Purpose
The purpose of this mixed-methods explanatory sequential study was to assess the effects of an external wine education and certification program on trainee reactions, learning, transfer and financial results.
Design/methodology/approach
The quantitative phase was a mixed experimental design in which the training intervention was between-subjects and time was within-subjects. The sample comprises 91 employees (NTraining = 43; NControl = 48) from 12 units of a fine dining restaurant group. The qualitative phase, comprised of semi-structured interviews with training group participants (N = 12), was implemented after the experiment.
Findings
Training group participants reported high scores for attitude toward training content, instructional satisfaction and transfer motivation. Financial metrics, tracked up to 60 days post-training, demonstrated the wine education program was effective in increasing wine knowledge but not wine sales. Four themes emerged from the qualitative data: sense of accomplishment, enhanced guest interaction, tips and gratuities and defeat. Integrated findings revealed increased wine knowledge led to personal financial impact (increased tips) rather than organizational impact.
Originality/value
This research builds on existing training literature and human capital theory by examining external training programs. Further, the use of a mixed-methods design and integration of the quantitative and qualitative findings offers a previously unidentified explanation for why wine training, although effective in facilitating positive reactions and learning, fails to result in transfer behaviors which generate increased wine sales.
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Peter Madzík, Lukáš Falát, Lukáš Copuš and Marco Valeri
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as…
Abstract
Purpose
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.
Design/methodology/approach
In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.
Findings
The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.
Originality/value
To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.
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Fabiola Sfodera, Lisa Nicole Cain and Alessio Di Leo
This study examines the role of technology as a driver of sustainable tourism perceptions among Generation Z.
Abstract
Purpose
This study examines the role of technology as a driver of sustainable tourism perceptions among Generation Z.
Design/methodology/approach
The work considers the perspective of locals in Pakistan and uses a multi-method, multiphase embedded research design approach.
Findings
The research findings demonstrated that technology has a positive correlation with the environmental, socio-cultural and economic dimensions of sustainable tourism perception among Generation Z. Therefore, technology could be considered a dimension of sustainable tourism perception for locals, but perceptions differ significantly depending on the size of the city of the participant. The results of the experimental design phase that utilized picture stimuli demonstrated a linear relationship between technology and sustainability and enhanced their definition and implementation for developing countries.
Originality/value
This research diverges from most past research on these topics by focusing on Generation Z, for whom digital media and technology play a crucial role and for whom these technologies are positively correlated with sustainability and its overall perception. Implications for policies and practices for emerging country governments are provided.
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Andrea Perna, Thomas O’Toole, Enrico Baraldi and Gian Luca Gregori
This study aims to develop our understanding of the value co-creation process in business networks. This study identifies four key sub-processes that characterize the value…
Abstract
Purpose
This study aims to develop our understanding of the value co-creation process in business networks. This study identifies four key sub-processes that characterize the value co-creation journey as it unfolds across an inter-organizational network. These four sub-processes are opportunity co-creation, solution co-creation, complementary co-creation and activated co-creation.
Design/methodology/approach
Reflecting the exploratory nature of this research, the methodology relies on an in-depth case study, which is analyzed through the lens of the resource interaction occurring within the specific business relationships and collaborative episodes that affected the nine-year long development of Deko, a new architectural lighting solution.
Findings
The main contribution of the paper is identifying the sub-processes comprising the value co-creation journey of a technology development solution based on resource combining, re-combining and un-combining across a business network. That value co-creation occurs through a time-consuming journey requiring multiple episodes of collaboration can also inspire the practice of handling this process for instance for a small business such as the one featured in this case study.
Originality/value
This paper highlights that the value co-creation journey process has the potential to frame the unfolding of collaboration in practice for a small business.
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This study aims to investigate the research question: how do women leaders in the professional business services (PBS) sector develop and approach workplace (in)authenticity?
Abstract
Purpose
This study aims to investigate the research question: how do women leaders in the professional business services (PBS) sector develop and approach workplace (in)authenticity?
Design/methodology/approach
Ten senior women leaders in the Midlands region of the UK were purposefully selected and interviewed. A semi-structured approach meant that the author adopted a social constructionist paradigm and feminist interpretation. Questions were designed to elicit rich descriptions from the participants. An inductive thematic analysis was conducted to address the study’s purpose.
Findings
Four themes were important to women when they developed and approached workplace (in)authenticity: (1) Power Structures, (2) Fit to Belong, (3) Influential Femininity and (4) Through Her Evolution. Women described masculine-majority organisations exerting power. They were pressured into altering their behaviours to “fit” into workplaces. When women had the latitude to be themselves, their leadership excelled. Women’s authenticity developed through increased self-knowledge, helping them to overcome workplace challenges. The study concluded that women face complexities when developing and approaching their constructions of authenticity, namely in the barriers and ramifications they face.
Practical implications
The study suggests several implications for practice and theory concerning enablers and barriers to women leaders' workplace authenticity. The link between authenticity and workplace gender equity needs to be investigated.
Originality/value
The study provides evidence that women are challenged when becoming authentic, therefore, altering their careers irrecoverably in some cases.
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