The Role of Customer Responsiveness in Improving the External Performance of an Agile Supply Chain

Jermsittiparsert, Kittisak; Sutduean, Jutamat; Sriyakul, Thanaporn; Khumboon, Rachata

doi:10.17512/pjms.2019.19.2.17

Cited by 24 publications

(15 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Innovation performance has dimensions such as product innovation, innovation in production processes, innovation in work organization and human resources (Jermsittiparsert et al, 2019). Ovuakporie et al (2021) considered six different activities that create value in businesses as innovation: creating new products, introducing new services, applying new production methods, opening up to new markets, finding new sources of supply and implementing new ways of organization.…”

Section: Innovation Performancementioning

confidence: 99%

Examination of the effects of learning capabilities and market orientation of logistics companies on innovation and logistics performance

Adiguzel,

Sonmez Cakir,

Yesilot Zehir

et al. 2024

ICT

View full text Add to dashboard Cite

Purpose In today’s economic conditions, businesses face great challenges related to competitiveness. The effort to respond flexibly to the changing business environment and customers’ demands constantly puts pressure on innovation. For this reason, research purpose to examine the effects of learning capabilities and market orientation in logistics companies during the pandemic. Design/methodology/approach In this research, a quantitative method was adopted and partial least squares structural equation modeling (PLS-SEM) was applied. The research is based on four variables. A conceptual research model was established through literature review and the model was tested. Within the scope of this research, A sample of 544 participants was taken to construct and test the model, and a 39-statement scale was presented to them. After presenting the reliability and validity values on the model, hypotheses were tested. Analyses were conducted using Smart-PLS 3.3 software. Findings As a result of the research conducted in logistics companies, the positive effects of learning orientation on performance outputs and the positive effects of market orientation as both a mediator and an independent variable show that these concepts are important for company management. Research limitations/implications Considering the limitations of the research, it would be wrong to generalize the results of the analysis for different sectors because the data were collected from experts working in logistics companies. Therefore, it is necessary to make evaluations taking into account the limitations of the research. In future studies, it is recommended to make comparisons with research in different sectors, taking into account the limitations, and to enrich the literature with more research in this area. Practical implications Because of the importance of logistics activities seen in all countries with the pandemic period, it can be explained as a result of the analyses that the performance outputs are positively affected by the learning orientation, the companies’ adaptation to continuous change and development and their emphasis on market orientation at the same time. Originality/value The research is an original study as it analyzes the effects of learning orientations of logistics companies on the problems and opportunities experienced in the supply and distribution channel along with the pandemic process.

show abstract

Section: Innovation Performancementioning

confidence: 99%

Examination of the effects of learning capabilities and market orientation of logistics companies on innovation and logistics performance

Adiguzel,

Sonmez Cakir,

Yesilot Zehir

et al. 2024

ICT

View full text Add to dashboard Cite

show abstract

“…Therefore, organizations should be equipped to forecast change to react to prospective problems and attain opportunities (Sheng et al, 2021). This requires the supply chain to be able to accelerate or decelerate its operations and invoke innovative customization by consumers (Jermsittiparsert et al, 2019). To be able to do so, the supply chain should have the capability to integrate business processes within the firm and with firm business partners (Bag et al, 2020).…”

Section: Supply Chain Agilitymentioning

confidence: 99%

Assessing the effect of business intelligence on supply chain agility. A perspective from the Jordanian manufacturing sector

Obidat¹,

Alziyadat²,

Alabaddi³

2023

10.5267/j.uscm

View full text Add to dashboard Cite

This study aimed to examine the effect of integrating Business Intelligence (BI) into the supply chain on supply chain agility, within the Jordanian manufacturing sector. Based on the resource-based view of the firm, this study developed and examined a research model, to achieve its goal. The impact of three dimensions of BI including managerial, technical, and cultural competencies was examined. Using an electronic questionnaire, data was gathered from 462 administrative personnel and employees. Structural equation modeling techniques were employed to analyze the data. Results revealed that the three dimensions of BI have statistically significant positive direct effects on supply chain agility. In addition to that, the results revealed that BI cultural competence has statistically significant positive direct effects on BI technical and managerial competencies. This study contributes to the literature on the role of BI in promoting supply chain agility, from the perspective of a developing country. The findings of this study are expected to help organizations' administrations in making better decisions regarding employing BI to achieve an agile supply chain.

show abstract

“…Therefore, attention to customer feedback in SC and logistics processes has recently increased, and manufacturers plan to transform their SCs (forward and reverse) into consumer-centric SCs (Taghikhah et al , 2019; Laari et al , 2016). Some research has investigated the role of CS in the RSC (Tomic and Brkic, 2019; Asian et al , 2019; Jermsittiparsert et al , 2019; Chavez et al , 2016). Some authors have also tried to adjust customer-centric SC by considering CS (Anastasiadis et al , 2021; Zondag and Ferrin, 2014).…”

Section: Literature Reviewmentioning

confidence: 99%

Toward customer-centric mobile phone reverse logistics: using the DEMATEL approach and social media data

Shokouhyar

Dehkhodaei

Amiri

2021

View full text Add to dashboard Cite

PurposeRecently, reverse logistics (RL) has become more prominent due to growing environmental concerns, social responsibility, competitive advantages and high efficiency by customers because of expansion of product selection and shorter product life cycle. However, effective implementation of RL results in some direct advantages, the most important of which is winning customer satisfaction that is vital to a firm's success. Therefore, paying attention to customer feedback in supply chain (SC) and logistics processes has recently increased, so manufacturers have decided to transform their RL into customer-centric RL. Hence, this paper aims to identify the features of a mobile phone which affect consumers’ purchasing behavior and to analyze the causality and prominence relations among them that can help decision-makers, policy planners and managers of organizations to develop a framework for customer-centric RL. These features are studied based on analysis of product review sites. This paper's special focus is on social media (SM) data (Twitter) in an attempt to help the decision-making process in RL through a big data analysis approach.Design/methodology/approachThis paper deals with identifying mobile phone features that affect consumer's mobile phone purchasing decisions. Using the DEMATEL approach and using experts' insights, a cause and effect relationship diagram was generated through which the effect of features was analyzed.FindingsEighteen features were categorized in terms of cause and effect, and the interrelationships of features were also analyzed. The threshold value is calculated as 0.023, and the values lower than that were eliminated to obtain the digraph. F6 (camera), F13 (price) and F5 (chip) are the most prominent features based on their prominent score. It was also found that the F5 (chip) has the highest driving power (1.228) and acts as a causal feature to influence other features.Originality/valueThe focus of this article is on SM data (Twitter), so that experts can understand the interaction between mobile phone features that affect consumer's decision on mobile phone purchasing by using the results. This study investigates the degree of influence of features on each other and categorizes the features into cause and effect groups. This study is also intended to help organizational decision-makers move toward a reverse customer SC.

show abstract

The Role of Customer Responsiveness in Improving the External Performance of an Agile Supply Chain

Cited by 24 publications

References 22 publications

Examination of the effects of learning capabilities and market orientation of logistics companies on innovation and logistics performance

Examination of the effects of learning capabilities and market orientation of logistics companies on innovation and logistics performance

Assessing the effect of business intelligence on supply chain agility. A perspective from the Jordanian manufacturing sector

Toward customer-centric mobile phone reverse logistics: using the DEMATEL approach and social media data

Contact Info

Product

Resources

About