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Article
Publication date: 2 June 2023

Lina Gozali, Teuku Yuri M. Zagloel, Togar Mangihut Simatupang, Wahyudi Sutopo, Aldy Gunawan, Yun-Chia Liang, Bernardo Nugroho Yahya, Jose Arturo Garza-Reyes, Agustinus Purna Irawan and Yuliani Suseno

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences…

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Abstract

Purpose

This research studies the development of the evolving dynamic system model and explores the important elements or factors and what detailed attributes are the main influences model in achieving the success of a business, industry and management. It also identifies the real and major differences between static and dynamic business management models and the detailed factors that influence them. Later, this research investigates the benefits/advantages and limitations/disadvantages of some research studies. The studies conducted in this research put more emphasis on the capabilities of system dynamics (SD) in modeling and the ability to measure, analyse and capture problems in business, industry, manufacturing etc.

Design/methodology/approach

The research presented in this work is a qualitative research based on a literature review. Publicly available research publications and reports have been used to create a research foundation, identify the research gaps and develop new analyses from the comparative studies. As the literature review progressed, the scope of the literature search was further narrowed down to the development of SD models. Often, references to certain selected literature have been examined to find other relevant literature. To do so, a supporting tool (that connects related articles) provided by Google Scholar, Scopus, and particular journals has been used.

Findings

The dynamic business and management model is very different from the static business model in complexity, formality, flexibility, capturing, relationships, advantages, innovation model, new goals, updated information, perspective and problem-solving abilities. The initial approach of a static system was applied in the canvas business model, but further developments can be continued with a dynamic system approach.

Research limitations/implications

Based on this study, which shows that businesses are developing more towards digitalisation, wanting the ability to keep up with the era that is moving so fast and the desire to increase profits, an instrument is needed that can help describe the difficulties of the needs and developments of the future world. This instrument, or tool of SD, is also expected to assist in drawing future models and in building a business with complex variables that can be predicted from the beginning.

Practical implications

This study will contribute to the SD study for many business incubator research studies. Many practical in business incubator management to have a benefit how to achieve the business performance management (BPM) in SD review.

Originality/value

The significant differences between static and dynamics to be used for business research and strategic performance management. This comparative study analyses some SD models from many authors worldwide. Their goals behind their strategic business models and encounter for their respective progress.

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Article
Publication date: 29 October 2024

Li-Wei Wu, Chung-Yu Wang and Yun-Chia Tang

Value, also known as co-creation, is recognized as the outcome of collaborative efforts between both parties. However, knowledge is currently limited regarding the motivations and…

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Abstract

Purpose

Value, also known as co-creation, is recognized as the outcome of collaborative efforts between both parties. However, knowledge is currently limited regarding the motivations and mechanisms driving customers to engage in co-production and value co-creation. Therefore, the current study aims to investigate co-production in enhancing value co-creation. Previous research has predominantly explored the linear effects of commitment and asset specificity on co-production. To expand on this foundation, our study goes a step further by including the potential quadratic effects of commitment and asset specificity on co-production. Although moderate levels of commitment and asset specificity may enhance co-production, higher levels are implied to possibly impede it. Considering that co-production requires collaboration between customers and service employees, this study includes the characteristics of service employees, such as self-monitoring and self-efficacy, identifying their moderating roles in aiding active co-production and ultimately enhancing the value co-creation.

Design/methodology/approach

We employed linear, nonlinear and hierarchical moderated regression analysis to test our hypotheses.

Findings

Our findings provide evidence for the positive linear effects and negative quadratic effects between commitment, asset specificity and co-production. The inverted-U relationships suggest an existing optimal commitment and asset specificity that maximize co-production. Results also suggest that co-production influences value co-creation and self-efficacy and self-monitoring positively moderates the relationship between co-production and value co-creation.

Originality/value

By applying the core provisions of S-D logic, this study contributes to marketing literature by analyzing the dyadic process of co-production. Dyadic data collection from both customers and service employees provides a comprehensive understanding of the co-production process, allowing academics to recognize service employees’ self-efficacy and self-monitoring that contribute to effective co-production and value co-creation in service processes.

Details

Asia Pacific Journal of Marketing and Logistics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1355-5855

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