The antecedents and consequences of supply chain service capabilities in the context of container shipping

2016 ◽  
Vol 27 (2) ◽  
pp. 236-262 ◽  
Author(s):  
Chung-Shan Yang
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Positive Impact ◽  
Value Added ◽  
Equation Model ◽  
Future Research ◽  
Service Reliability ◽  
Management Support ◽  
Container Shipping ◽  
Content Type

Purpose – The purpose of this paper is to empirically examine the relationships among supply chain integration (SCI), supply chain service capabilities, market performance (MP), and financial performance (FP) in the container shipping context and develops valid and reliable instruments for future research. Design/methodology/approach – A structured questionnaire was used to gather data from 133 container shipping operators and agencies in Taiwan, using confirmatory factor analysis, the author identified main dimensions of SCI and supply chain service capabilities in container shipping context. A structural equation model was then used to test the research hypotheses. Findings – This study has identified a set of five dimensions that can enable effective SCI: top management support, cross-functional cooperation, information technology, goal congruence, and collaborative communication, and highlighted the critical mediating role of supply chain service capabilities (i.e. service efficiency, service reliability, service flexibility, and value-added service) in improving firms’ market and FP. The authors confirm that SCI has a positive impact on supply chain service capabilities, which in turn helps to enhance market and FP. Practical implications – This research can thus serve as a valuable reference for managers to achieve better SCI formation and performance, help managers to develop more effective collaborative relationships, and thus minimize the chance of SCI failure. Originality/value – This manuscript provides a theoretical framework to link SCI, supply chain service capabilities, MP, and FP for the container shipping service supply chain context that have not been previously reported through empirical research.

scholarly journals Supply chain strategy and the role of suppliers: evidence from the Indian sub-continent

2016 ◽  
Vol 23 (7) ◽  
pp. 1658-1676 ◽  
Author(s):  
Muhammad Shakeel Sadiq Jajja ◽  
Vijay R. Kannan ◽  
Shaukat Ali Brah ◽  
Syed Zahoor Hassan
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Corporate Strategy ◽  
Positive Impact ◽  
Performance Outcomes ◽  
Equation Model ◽  
Developed Country ◽  
Content Type ◽  
Supply Chain Strategy ◽  
The Impact

Purpose Supply chain strategy is widely recognized as being a crucial component of a broader corporate strategy. However, the relationships between a firm’s strategic supply chain focus, the tactical orientation of its suppliers, and the firm’s performance, are less well understood. Much of what is known is also based on developed country contexts. The purpose of this paper is to empirically examine relationships between a buying firm’s supply chain strategy and operational dimensions of its suppliers in a developing country context. Design/methodology/approach A structural equation model is developed and tested using empirical data drawn from 296 organizations in India and Pakistan. Findings The results demonstrate a positive relationship between a firm’s strategic supply chain focus (lean and responsiveness) and key supplier practices (quality, cost effectiveness, delivery, and flexibility), which in turn have a positive impact on firm performance (operational, quality and market, and financial). Practical implications The study paper offers supply chain managers in developing markets with insights that can shape effective supplier selection and management and lead to positive performance outcomes. Originality/value The results provide insights into supply chain strategy, and empirically validate the importance of the alignment between strategy and the ability of suppliers to execute in a corresponding manner. It also offers evidence of the impact of the buyer-supplier interface in a developing market context.

The relationship between training satisfaction, organisational citizenship behaviour, and turnover intention

2017 ◽  
Vol 4 (3) ◽  
pp. 267-290 ◽  
Author(s):  
Mumtaz Ali Memon ◽  
Rohani Sallaeh ◽  
Mohamed Noor Rosli Baharom ◽  
Shahrina Md Nordin ◽  
Hiram Ting
Keyword(s):  
Turnover Intention ◽  
Structural Equation ◽  
Oil And Gas ◽  
Positive Impact ◽  
Future Research ◽  
Content Type ◽  
Training Satisfaction ◽  
Negative Effect ◽  
Unexpected Findings

Purpose The purpose of this paper is to explore the role of training satisfaction as a predictor of organisational citizenship behaviour (OCB) and turnover intention. The study further examines the mediating role of OCB between training satisfaction and turnover intention. Design/methodology/approach Data were collected from 409 Malaysian oil and gas (O&G) sector employees. Partial least squares structural equation modelling (PLS-SEM) was used to test the hypotheses in the research model using SmartPLS 3.0. Findings This study highlights the significant positive impact of training satisfaction on OCB and the negative effect on turnover intention. Contrary to expectations, OCB proved to be neither a predictor of turnover intention nor a mediator in the model. Practical implications Although the main aim of this study was to test the theoretically driven hypotheses, the findings have a number of valuable implications for organisations. This study suggests that O&G organisations should focus on increasing employee satisfaction with training to maximise desired workplace attitudes and behaviours. Originality/value This is the first study to explore the causal links between training satisfaction, OCB and turnover intention. Although it has been observed in the past that training does not directly influence turnover intention, the present study indicates that training satisfaction significantly influences turnover intention. Further, this study unexpectedly found no direct relationship between OCB and turnover intention. Also, OCB was not a significant mediator in the present study. These unexpected findings open new avenues for future research, thus representing an important contribution of the present study.

scholarly journals Multi‐dimensional nature of service innovation

2011 ◽  
Vol 31 (11) ◽  
pp. 1164-1192 ◽  
Author(s):  
Renu Agarwal ◽  
Willem Selen
Keyword(s):  
Factor Analysis ◽  
Empirical Data ◽  
Structural Equation ◽  
Service Innovation ◽  
Telecommunications Industry ◽  
Equation Model ◽  
Future Research ◽  
Extensive Literature ◽  
Service Network ◽  
Content Type

PurposeInnovation in services is thought to be multi‐dimensional in nature, and in this context the purpose of this paper is to present and operationalise the concept of “elevated service offerings” (ESO) in collaborating service organisations. ESO stands for new or enhanced service offerings which can only be eventuated as a result of partnering, and which could not be delivered on individual organisational merit. ESO helps us expand our understanding of service innovation to include a service network or service system's dimension.Design/methodology/approachA structural equation model is specified and estimated based on constructs and relationships grounded in the literature, as well as self‐developed constructs, using empirical data from 449 respondents in an Australian telecommunications service provider (SP) and its partnering organisations.FindingsResults show that ESO is a multi‐dimensional construct which was operationalised and validated through an extensive literature review, exploratory factor analysis, confirmatory factor analysis, and structural equation modelling using a holdout sample.Research limitations/implicationsQualitative and empirical data analysis was undertaken with data collected from a single large telecommunications SP organisation, and its partnering organisations. Future research may seek to collect data from the entire telecommunications industry sector and their partnering organisations, across other service sectors, or even any other organisation where collaboration is pivotal to their success.Practical implicationsService organisations today need to understand that innovation in services is not just about process or product innovation, or even performance and productivity improvements, but in fact includes organisational forms of innovation. Indeed, the interactions and complementarities between the three different aspects of ESO – strategic, productivity, and performance – highlight the increasing complex and multi‐dimensional character of innovation and the ongoing iterative process.Originality/valueThis research provides empirical evidence for the existence of a multi‐dimensional innovation in services construct – known as elevated service offerings in a collaborative service network, along with an adapted definition of service and a service innovation model.

A structural equation model for big data adoption in the healthcare supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dindayal Agrawal ◽  
Jitender Madaan
Keyword(s):  
Factor Analysis ◽  
Big Data ◽  
Supply Chain ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Model ◽  
Equation Modeling ◽  
Data Governance ◽  
Social Perspective ◽  
Content Type

PurposeThe purpose of this study is to examine the barriers to the implementation of big data (BD) in the healthcare supply chain (HSC).Design/methodology/approachFirst, the barriers concerning BD adoption in the HSC were found by conducting a detailed literature survey and with the expert's opinion. Then the exploratory factor analysis (EFA) was employed to categorize the barriers. The obtained results are verified using the confirmatory factor analysis (CFA). Structural equation modeling (SEM) analysis gives the path diagram representing the interrelationship between latent variables and observed variables.FindingsThe segregation of 13 barriers into three categories, namely “data governance perspective,” “technological and expertise perspective,” and “organizational and social perspective,” is performed using EFA. Three hypotheses are tested, and all are accepted. It can be concluded that the “data governance perspective” is positively related to “technological and expertise perspective” and “organizational and social perspective” factors. Also, the “technological and expertise perspective” is positively related to “organizational and social perspective.”Research limitations/implicationsIn literature, very few studies have been performed on finding the barriers to BD adoption in the HSC. The systematic methodology and statistical verification applied in this study empowers the healthcare organizations and policymakers in further decision-making.Originality/valueThis paper is first of its kind to adopt an approach to classify barriers to BD implementation in the HSC into three distinct perspectives.

Impact of business model innovations on SME’s innovativeness and performance

2019 ◽  
Vol 14 (4) ◽  
pp. 521-539 ◽  
Author(s):  
Rimantas Gatautis† ◽  
Egle Vaiciukynaite ◽  
Asta Tarute
Keyword(s):  
Business Model ◽  
Structural Equation ◽  
Positive Impact ◽  
Equation Modeling ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Innovation Activities ◽  
Organizational Inertia ◽  
Multiple Characteristics

Purpose Business model innovations (BMIs), their drivers and outcomes are attracting increasing attention in academic literature. However, previous studies have mainly focused on large companies, while knowledge of BMI in small-to-medium-sized enterprises (SMEs) is limited. Therefore, the purpose of this paper is to add new insights into how related BMI drivers, practices and outcomes are in relation to SMEs. Design/methodology/approach An extensive review of the existing literature was performed. Consequently, the relationships between BMI drivers, BMI practices and outcomes of BMI were developed as a conceptual framework. An empirical study was carried out. A structural equation modeling (SEM) procedure was used to empirically test the model using a quantitative data set of Lithuanian SMEs (n=73). Findings The study provides insights into the relations between BMI drivers, BMI practices and outcomes of BMI in SMEs. The findings of SEM, four drivers (innovation activities, strategic orientation, market and technology turbulence, respectively) are indicated to contribute to BMI of SMEs. In addition, the results proved that the implementation of BMI practices leads to strategic and architectural changes in firms and has a positive impact on SMEs performance and innovativeness. Research limitations/implications Empirical research is focused on a limited number of internal and external BMI drivers, which have an influence on BMI in SMEs from one geographical region. Consequently, there are many external and internal BMI drivers which also may have an influence on BMI in SMEs, such as industry life cycle, organizational inertia and leadership. Meanwhile, SMEs possess multiple characteristics, i.e. a phase of maturity, gender of CEO, firm size and industry; therefore, the aforesaid aspects are considered to be significant limitations. In addition, the importance of SMEs characteristics as mediators for the effects on a firm’s performance and innovativeness should be considered in future research avenues. Practical implications Findings of this research can be used by SME managers to better understand how firms might actively engage in BMI practices, what drivers lead to BMI and, in turn, affect their firm’s performance and innovativeness. SME managers should be encouraged to pay attention to strategic and architectural changes of BM that can contribute to enterprise performance and innovativeness. Originality/value This paper adds to the stream of BMI research by empirically exploring drivers and outcomes of BMI in SMEs. In addition, this paper fulfills research gaps proposed by Bouwman et al. (2018), Foss and Saebi (2017), Heikkilä, Bouwman and Heikkilä (2018) and Lambert and Davidson (2013), and enhances the current overall understanding of BMIs.

scholarly journals Understanding supply chain analytics capabilities and agility for data-rich environments

2019 ◽  
Vol 39 (6/7/8) ◽  
pp. 887-912 ◽  
Author(s):  
Samuel Fosso Wamba ◽  
Shahriar Akter
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Equation ◽  
Equation Modeling ◽  
Future Research ◽  
Chain Management ◽  
Content Type ◽  
Supply Chain Agility ◽  
The Usa

Purpose Big data-driven supply chain analytics capability (SCAC) is now emerging as the next frontier of supply chain transformation. Yet, very few studies have been directed to identify its dimensions, subdimensions and model their holistic impact on supply chain agility (SCAG) and firm performance (FPER). Therefore, to fill this gap, the purpose of this paper is to develop and validate a dynamic SCAC model and assess both its direct and indirect impact on FPER using analytics-driven SCAG as a mediator. Design/methodology/approach The study draws on the emerging literature on big data, the resource-based view and the dynamic capability theory to develop a multi-dimensional, hierarchical SCAC model. Then, the model is tested using data collected from supply chain analytics professionals, managers and mid-level manager in the USA. The study uses the partial least squares-based structural equation modeling to prove the research model. Findings The findings of the study identify supply chain management (i.e. planning, investment, coordination and control), supply chain technology (i.e. connectivity, compatibility and modularity) and supply chain talent (i.e. technology management knowledge, technical knowledge, relational knowledge and business knowledge) as the significant antecedents of a dynamic SCAC model. The study also identifies analytics-driven SCAG as the significant mediator between overall SCAC and FPER. Based on these key findings, the paper discusses their implications for theory, methods and practice. Finally, limitations and future research directions are presented. Originality/value The study fills an important gap in supply chain management research by estimating the significance of various dimensions and subdimensions of a dynamic SCAC model and their overall effects on SCAG and FPER.

Impacts of supply chain planning and integration on mass customization

2018 ◽  
Vol 29 (3) ◽  
pp. 608-628 ◽  
Author(s):  
Gensheng (Jason) Liu ◽  
Weiyong Zhang ◽  
Chundong Guo
Keyword(s):  
Supply Chain ◽  
Mass Customization ◽  
Structural Equation ◽  
Functional Integration ◽  
Equation Model ◽  
Content Type ◽  
Supplier Integration ◽  
Processing Theory ◽  
Focal Firm ◽  
The Relationship

PurposeEffective mass customization (MC) depends on accurately identifying customer needs and procuring appropriate components from supply base to manufacture the required product configurations in a timely manner. In essence, effective MC for a focal firm is contingent on effective supply chain management. However, extant literature is not very clear on how supply chain (SC) planning and integration activities affect MC. The purpose of this paper is to fill the gap by examining the impacts of SC-planning and SC-integration on MC.Design/methodology/approachOrganizational information processing theory is used to link SC-integration with MC ability, and a link is hypothesized between SC-planning and SC-integration. The structural equation model is then analyzed using data from 262 manufacturing plants.FindingsIt is found that SC-integration fully mediates the relationship between SC-planning and MC-ability.Research limitations/implicationsThe SC-integration measure is from a focal manufacturer’s standpoint, rather than the standpoint of the entire SC.Practical implicationsThe results indicate that using a SC perspective in planning activities helps a focal firm integrate with key stakeholders along the SC, which subsequently helps the firm mass customize. Practitioners should recognize the added importance of SC-planning and SC-integration if they want to mass customize.Originality/valueThis study provides a theoretical foundation for the relationship between SC-integration and MC. It also provides a more comprehensive conceptualization of SC-integration, which includes supplier integration, customer integration, as well as internal functional integration which was neglected in many previous studies.

Consumer behavior in the omni-channel supply chain under social networking services

2019 ◽  
Vol 119 (8) ◽  
pp. 1785-1801 ◽  
Author(s):  
Bo Yan ◽  
Yan-Ru Chen ◽  
Xiao-Tai Zhou ◽  
Jing Fang
Keyword(s):  
Supply Chain ◽  
Consumer Behavior ◽  
Social Networking ◽  
Structural Equation ◽  
Mobile Terminal ◽  
Equation Model ◽  
Social Networking Services ◽  
Content Type ◽  
The Relationship ◽  
Positive Effect

Purpose The purpose of this paper is to analyze how social networking services (SNSs) affect consumers’ behaviors on the omni-channel supply chain by using a reverse research method. Design/methodology/approach Initially, a questionnaire was administered to obtain data on the relationship between the perception factors of channels and consumer behavior. Subsequently, a structural equation model was constructed, and consumer behavior were determined in the omni-channel supply chain. Finally, the importance of various factors that affected consumer behavior in the omni-channel supply chain under SNSs was determined. Findings Conclusions affirm that a positive effect on consumer channel behaviors occurs when buyers obtain information from social network platforms. However, regardless of online, offline, or mobile terminal, shortcomings are indicated in consumers’ lack of feedback on purchased goods and the bias of feedback. Originality/value The study explored ways to efficiently apply SNSs in building the omni-channel supply chain. Meanwhile, corresponding suggestions were provided such that companies will know about consumer needs.

Lean and agile manufacturing: complementary or competing capabilities?

2020 ◽  
Vol 31 (4) ◽  
pp. 749-774 ◽  
Author(s):  
Tahir Iqbal ◽  
Muhammad Shakeel Sadiq Jajja ◽  
Mohammad Khurrum Bhutta ◽  
Shahzad Naeem Qureshi
Keyword(s):  
Lean Manufacturing ◽  
Structural Equation ◽  
Positive Impact ◽  
Agile Manufacturing ◽  
Equation Modeling ◽  
Future Research ◽  
Cross Sectional ◽  
Content Type ◽  
Exporting Firms ◽  
Strategic Capabilities

PurposeLean (TQM and JIT) and agile manufacturing (AM) are viewed as strategic capabilities that can help firms to meet diverse set of market demands. However, the question whether lean manufacturing and AM are complementary or competing capabilities is still open to discussion. This research proposes an integrated research framework that draws on complementary theory, theory of systems, and concept of fit to examine this question regarding these two strategic capabilities.Design/methodology/approachData are collected from 248 apparel exporting firms, and the proposed model is evaluated using structural equation modeling.FindingsResults show that lean manufacturing, AM, and supporting management and infrastructural practices have positive and complementary effects on firm's performance. Further, results depict that lean manufacturing and AM complementarity is a complete organizational synergistic phenomenon, and piecemeal implementation of these initiatives may lead to suboptimal or unsatisfactory results. Results also indicate that there is no significant direct (correlated and uncorrelated) relationship of management, infrastructure, lean manufacturing, and AM practices with firm's performance and support that lean manufacturing and AM are not competing paradigms.Research limitations/implicationsThis research is based on cross-sectional data from one industry. Future research should collect data from diverse sectors in different countries.Practical implicationsThis study provides a key insight for manufacturing managers that piecemeal implementation of lean manufacturing and AM does not yield optimal outcomes. In addition, study suggests that lean manufacturing and AM complementarity builds on strong foundation of strategic management and internal and external infrastructure. Therefore, managers should focus on development of skilled and empowered human resources, technological advancements, and learning and virtually integrated organizations for effective implementation of lean manufacturing and AM.Originality/valueProposed framework is one of the first, if not the first, that seeks to resolve the question: whether lean manufacturing and AM are complementary or competing capabilities. Complementary effects of lean manufacturing and AM along with management, internal infrastructure, and common external infrastructure practices have positive impact on performance. This study also segregated infrastructure practices into internal and common external infrastructure practices.

scholarly journals The stakeholder management theory of CSR

2016 ◽  
Vol 34 (5) ◽  
pp. 731-751 ◽  
Author(s):  
Andrea Pérez ◽  
Ignacio Rodríguez del Bosque
Keyword(s):  
Structural Equation ◽  
Ethical Issues ◽  
Positive Impact ◽  
Stakeholder Management ◽  
Equation Model ◽  
Management Theory ◽  
Content Type ◽  
Order Construct ◽  
Customer Identification ◽  
Stakeholder Management Theory

Purpose – Based on the principles of the stakeholder management theory, the purpose of this paper is to explore customers’ multidimensional perceptions of both banking companies and the corporate social responsibility (CSR) orientations of these companies. The paper also explores how these multidimensional perceptions affect customer identification and satisfaction towards banking companies. Design/methodology/approach – A structural equation model is tested using information collected from 1,124 banking service customers. Findings – The findings demonstrate that customers’ perceptions of customer-related CSR and broad legal and ethical issues have significant positive impact on both customer identification and satisfaction with banking companies. Perceptions of shareholder-related CSR also significantly boost customer satisfaction. In contrast, perceptions of employee- and community-related CSR do not have a profound effect on customer identification or satisfaction. These findings also confirm the importance of customer identification with the company as a key mediator in their satisfaction responses to the multidimensional perceptions of the companies’ CSR orientations. Originality/value – The contribution of the paper is based on the exploration of a multidimensional approach, relying on the principles of the stakeholder management theory to study customer responses and perceptions of the CSR orientations of banking companies. Previous scholars have reported mixed findings while exploring customer responses to their perceptions of companies’ CSR orientations. However, they frequently considered customer CSR perceptions either as one-dimensional or a reflective second-order construct, thus ignoring the possibility of multidimensional CSR perceptions having multiple effects on customer responses such as identification and satisfaction.

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