Cong Zhou, Weili Xia and Taiwen Feng
This study aims to explore how relationship trust and different types of influence strategy (i.e., non-coercive and coercive influence strategy) impact green customer integration…
Abstract
Purpose
This study aims to explore how relationship trust and different types of influence strategy (i.e., non-coercive and coercive influence strategy) impact green customer integration (GCI), while investigating the moderating mechanisms of big data development and social capital.
Design/methodology/approach
Following hierarchical linear regression analysis, the authors examine hypothesized relationships by combining survey data from 206 Chinese manufacturers with secondary data.
Findings
The results show that relationship trust positively affects non-coercive influence strategy, while its impact on coercive influence strategy is insignificant. Non-coercive influence strategy has an inverted U-shaped impact on GCI. Furthermore, big data development flattens the inverted U-shaped relationship between non-coercive influence strategy and GCI. Conversely, social capital steepens the inverted U-shaped relationship between non-coercive influence strategy and GCI.
Practical implications
This study sheds light on managers on how to involve customers in GCI through friendly strategies that favor the involvement of customers and the willingness to develop environmentally friendly initiatives.
Originality/value
Although GCI has received widespread attention, how it can be enhanced remains unclear. These findings provide novel insights into the emerging GCI literature and complement social exchange theory.
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Yang Huo, Rachel Anna Messenger and Doug Miller
This paper aims to address the issue of why students want to drop out from a course and suggests appropriate strategies to enhance student retention.
Abstract
Purpose
This paper aims to address the issue of why students want to drop out from a course and suggests appropriate strategies to enhance student retention.
Design/methodology/approach
A sample of 260 hospitality management students were surveyed based on both Tinto's model of student–institution integration and a theory of planned behavior on student departure. The research applies data mining and decision tree using the classification and regression trees (CART) method as an analytic tool to identify a group, discover relationships between groups and predict future events for segmentation.
Findings
The results regarding the demographics indicate that the most critical factors of dropout included residency status, financial situation, quality of class and occupation.
Research limitations/implications
This is a limited US sample, based on student perceptions only and not lecturer or institution perceptions.
Originality/value
The paper provides empirical evidence of student perspective along with institutional and learning environment factors. It includes data from students who are currently enrolled (which previous literature has not covered) by testing student–institution integration and planned behavior on student departure.
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Muhammad Zia Ul Haq and Guangming Cao
While the importance of supply chain learning (SCL) is widely recognized by both academia and industry, the mechanisms through which SCL is developed and its effects on…
Abstract
Purpose
While the importance of supply chain learning (SCL) is widely recognized by both academia and industry, the mechanisms through which SCL is developed and its effects on environmental performance remain insufficiently understood. This study conceptualizes and empirically investigates the role of relational capital and information technology (IT) in enhancing SCL and improving environmental performance.
Design/methodology/approach
Drawing on socio-technical system theory (STS) and a knowledge-based view, this research employs structural equation modeling to test the proposed model, utilizing survey data collected from Chinese manufacturing companies.
Findings
The results demonstrate that relational capital with supplier and customer significantly enhances both supplier and customer learning. While IT does not directly impact supplier and customer learning, it exerts an indirect influence through its positive effect on relational capital. In other words, relational capital mediates the relationship between IT and supplier and customer learning. Additionally, this study finds that both supplier and customer learning enhance environmental performance.
Practical implications
This study provides actionable insights for managers, emphasizing the importance of relational capital in fostering SCL and improving environmental performance. By understanding these relationships, managers can develop more effective strategies for leveraging SCL as a tool for sustainability.
Originality/value
This study adds to the existing body of knowledge in supply chain management by offering a more nuanced and holistic model to explain how relational capital, IT and SCL interact to influence environmental performance, particularly within the context of Chinese manufacturing companies.
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Lu Yang, Baofeng Huo and Yuxiao Ye
This study aims to empirically test the direct effects of three types of information technology (IT) use on three dimensions of supply chain coordination (SCC). It further…
Abstract
Purpose
This study aims to empirically test the direct effects of three types of information technology (IT) use on three dimensions of supply chain coordination (SCC). It further explores the spillover effects of IT use on coordination beyond its domain across the SC. Besides, this study probes into the moderating effects of environmental uncertainty (EU).
Design/methodology/approach
Structural equation modelling (SEM) is used to examine data collected from 202 firms in Hong Kong. Furthermore, multi-group SEM analysis with a series of invariance tests was used to test the moderating effects of EU.
Findings
Internal, supplier and customer IT use have direct effects on internal, supplier and customer coordination, respectively. Besides, IT use generates forward spillover effects beyond its domain along the forward physical flow in an SC. EU positively moderates the relationships between external IT use and SCC but does not shape the effectiveness of internal IT use in enhancing SCC. Moreover, under a high EU, the spillover effects of IT use on coordination can be intensified. Besides, the spillover effects further expand to benefit coordination on a larger scale of the SC under a high EU.
Originality/value
This study contributes by revealing that in addition to direct effects, IT use in a specific domain could generate spillover effects on coordination beyond its domain throughout an SC. More importantly, it contributes by explaining the difference in the effectiveness of IT use under different levels of EU using multi-group SEM analysis.
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Yuxiao Ye, Lu Yang, Baofeng Huo and Xiande Zhao
Drawing on the resource-based view (RBV), this study aims to investigate the impact of social capital, namely, structural (information sharing), cognitive (shared value) and…
Abstract
Purpose
Drawing on the resource-based view (RBV), this study aims to investigate the impact of social capital, namely, structural (information sharing), cognitive (shared value) and relational (relationship commitment) capital in the supplier and the customer side on supply chain performance in a longitudinal design. It further aims to examine the moderating effect of change in competition intensity.
Design/methodology/approach
Based on two-wave data collected from 203 manufacturers in China, this study uses the ordinary least square and first-difference regression methods to test the proposed relationships.
Findings
The results show the effect of social capital on supply chain performance and the dynamic nature of supply chain social capital. The causal analysis further reveals the significance of supplier-side structural and relational capital in improving supply chain performance. Moreover, competitive intensity plays an important moderating role.
Originality/value
This study, to the best of the authors’ knowledge, is one of the first to demonstrate the longitudinal effect of supply chain social capital on supply chain performance.
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Baofeng Huo, Xu Liu and Siyu Li
With more demand-driven innovation activities, manufacturers must proactively engage in information sharing activities with their customers for better innovation performance. This…
Abstract
Purpose
With more demand-driven innovation activities, manufacturers must proactively engage in information sharing activities with their customers for better innovation performance. This study aims to inquire into the impacts of information sharing activities between manufacturers and customers (including information system usage and information content sharing) on manufacturers’ innovation performance and considers interfirm justice (including distributive justice, procedural justice and interactional justice) as information sharing antecedents.
Design/methodology/approach
The social exchange theory is applied to develop the conceptual model. The authors examine the conceptual model with the structural equation modeling approach using data collected from 213 Chinese manufacturers.
Findings
Interactional justice promotes information system usage. Both interactional justice and procedural justice increase information content sharing, while distributive justice decreases it. Information content sharing directly improves innovation performance and fully mediates the relationship between information system usage and innovation performance.
Originality/value
This research enriches empirical studies on justice-information sharing relationships by systematically investigating the impacts of three types of justice on different information sharing activities. It also adds to the application of social exchange theory in the practices of interfirm justice and information sharing. Besides, it probes into influencing mechanisms of different information sharing activities, information system usage and information content sharing, on innovation performance. The findings can guide firms to implement interfirm justice and information sharing practices for superior innovation performance.
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İlker Polatoğlu and Fehime Cakıcıoglu Ozkan
This paper aims to present a novel and cost-effective optical biosensor design by simple preparation method for detection of “parathion-methyl,” which is a model pesticide pose to…
Abstract
Purpose
This paper aims to present a novel and cost-effective optical biosensor design by simple preparation method for detection of “parathion-methyl,” which is a model pesticide pose to public health and the environment.
Design/methodology/approach
The optical enzyme biosensor (TCA) for detection of pesticide “parathion-methyl” was developed on the basis of immobilization of tyrosinase enzyme on chitosan film by adsorption technique. The analytic performance of TCA was investigated by measuring its activity with Ultraviolet (UV) visible spectrophotometer.
Findings
Uniform porous network structure and protonated groups of chitosan film provided a microenvironment for tyrosinase immobilization evident from Fourier transform infrared (FTIR) spectroscopy and Atomic Force Microscopy analysis. TCA has a wide linear detection range (0-1.03 µM) with high correlation coefficient and it can detect the parathion-methyl concentration as low as 159 nM by noncompetitive inhibition kinetics. Using the TCA sensor both for ten times and at least 45 days without a significant loss in its activity are the indicators of its good operational and storage stability. Moreover, TCA can be applicable to tap water, providing a promising tool for pesticides detection.
Originality/value
This is the first time to use the in situ analytical technique that can improve the performance of optical enzyme sensor provided to control the pesticide residue better with respect to traditional techniques. The effect of organic solvents on the performance of optical enzyme biosensor was investigated. Inhibition kinetic of the solvents rarely encountered in literature was also studied besides the pH and temperature tolerance of the optical biosensor.
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Yang Liu, Wei Fang, Taiwen Feng and Mengjie Xi
Manufacturers are facing growing institutional pressures to enhance the manufacturers' sustainability. Establishing appropriate environmental strategy and implementing green…
Abstract
Purpose
Manufacturers are facing growing institutional pressures to enhance the manufacturers' sustainability. Establishing appropriate environmental strategy and implementing green supply chain integration (GSCI) are imperative initiatives for them. Nevertheless, prior research has predominantly examined the individual net impacts on sustainable performance. Drawing on the strategy-structure-environment (SSE) framework and configurational perspective, this study investigates the synergistic effects and multiple equivalent combinations of environmental strategy and GSCI under diverse institutional forces.
Design/methodology/approach
To empirically validate this relationship, the present study utilizes fuzzy-set qualitative comparative analysis (fsQCA) to analyze two-wave survey data collected from 317 manufacturers in China.
Findings
The findings indicate that individual dimension of environmental strategy and GSCI is not independently necessary. However, when combined, this results in seven equifinal configurations that lead to high sustainable performance. Combining all dimensions of environmental strategy and GSCI leads to the simultaneous achievement of high environmental, economic and social performance under perceived social pressure.
Practical implications
This study offers firms the flexibility to select from a range of pathways, allowing the firms to strategically filter and develop diverse combinations of environmental strategy and GSCI. These choices empower firms to enhance the firms' sustainable performance while navigating various institutional forces.
Originality/value
This study contributes to the existing literature by utilizing the SSE framework to investigate the configurational paths that influence sustainable performance. Additionally, this work introduces the fsQCA method to enhance the understanding of sustainable performance in the literature.
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Chunguang Bai, Kannan Govindan and Baofeng Huo
Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This…
Abstract
Purpose
Supply chain agility (SCA) is the primary strategy for reducing impacts and quick recovery when supply chains experience a disruption risk, such as the COVID-19 pandemic. This study will investigate how SCA can be achieved through supply chain information sharing (SCIS) under the different dependence relationships (DR) with suppliers or customers. The purpose of this paper is to investigate this issue.
Design/methodology/approach
Based on information process and resource dependency theories, this study constructs and empirically tests a proposed model of the relationships amongst the three dimensions of SCIS and the two areas of SCA and the contingency effects of two types of DR on those relationships. Using a dataset collected from 400 manufacturers in China, the authors tested this theoretical model using multi-group and structural path analysis.
Findings
The results of the structural path and multi-group analyses show that (1) all dimensions of SCIS are positively correlated with both areas of SCA and (2) dependence on the supplier and dependence on the customer have completely different impacts on the relationship between SCIS and SCA.
Originality/value
This study can improve the understanding of the multidimensional concepts of SCIS and SCA and relationships between them under two different DR conditions in the Chinese manufacturing setting. It contributes to IS and the SCA literature and provides theoretically driven and empirical explanations for the diverse dynamics between the dependence on the supplier and customer.