scholarly journals THE EFFECT OF INTERNAL COST MANAGEMENT, INTEGRATION OF EXTERNAL AND INTERNAL INFORMATION SYSTEMS, AND FIBER CAPACITY ON INTER-ORGANIZATIONAL COST MANAGEMENT IN SUPPLY CHAINS (Empirical Studies in Manufacturing Companies in The Province of Banten)

2020 ◽  
Vol 5 (1) ◽  
pp. 89-97
Author(s):  
Gugun Gunawan
Keyword(s):  
Supply Chains ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Cost Management ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Management Approach ◽  
Manufacturing Companies ◽  
Electronic Integration ◽  
Organizational Costs

Inter-organizational cost management is a strategic cost management approach to managing costs that span organizational boundaries in supply chains. Drawing on the resourcebased view of the firm, we develop a model to predict which inter-related resources might enable companies to manage inter-organizational costs. We test this model using a survey of managerial accountants whose organizations are part of a supply chain. Using structural equation modeling, we conclude that the resources of internal electronic integration, external electronic integration, internal cost management, and absorptive capacity play significant direct and indirect roles in the development of an inter-organizational cost management (IOCM) resource. We find that these resources are inter-related and together are useful in enabling companies to ultimately benefit from managing inter-organizational costs. We find in particular the importance of relational resources associated with absorptive capacity in the development of an IOCM resource. Our research contributes to theory and practice by explaining how specific resources can be combined in allowing companies to better manage inter-organizational costs. Data were analyzed using SEM with the aid SmartPLS software version 3.0

Exploring the consequences of judgmental and quantitative forecasting on firms' competitive performance in supply chains

2020 ◽  
Vol 27 (5) ◽  
pp. 1717-1737
Author(s):  
Reza Salehzadeh ◽  
Reihaneh Alsadat Tabaeeian ◽  
Farahnaz Esteki
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Structural Equation ◽  
Three Dimensions ◽  
Equation Modeling ◽  
Supply Chain Performance ◽  
Manufacturing Companies ◽  
Competitive Performance ◽  
Content Type ◽  
Forecasting Methods

PurposeThe purpose of this study is to examine the impacts of different forecasting methods (judgmental, quantitative and mixed forecasting) on firms' supply chains and competitive performance.Design/methodology/approachWorking with three groups of manufacturing companies, we explore the consequences of judgmental, quantitative and mixed forecasting methods on firms' competitive performance in supply chains. The validity of constructs and path relationships was examined using structural equation modeling (SEM).FindingsOur findings indicate that supply chain efficiency influences both cost reduction and customer satisfaction. In addition, the three dimensions of supply chain performance are shown to be direct antecedents of competitive performance. Our empirical results reveal that although all studied forecasting methods meaningfully influence supply chain performance, the mixed method, compared to the other two methods, has greater capabilities to enhance supply chain performance.Originality/valueThis research provides originality and insight into supply chain practices through forecasting methods to improve competitive performance.

Enhancing effects of supply chain resilience: insights from trajectory and resource-based perspectives

2017 ◽  
Vol 22 (4) ◽  
pp. 329-340 ◽  
Author(s):  
Jao-Hong Cheng ◽  
Kuo-Liang Lu
Keyword(s):  
Supply Chain ◽  
Supply Chains ◽  
Coping Strategies ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Research Model ◽  
Organizational Relationships ◽  
Content Type ◽  
Supply Chain Resilience

Purpose This paper aims to examine the operating frontier, trajectory and absorptive capacity influencing proactive and reactive dimension of supply chain resilience and implementation in inter-organizational relationships. Design/methodology/approach This paper presents a research model comprises six research hypotheses with five constructs, including trajectory, absorptive capacity, operating frontier, proactive and reactive dimension of supply chain resilience. The hypotheses are tested on data collected from 297 senior managers of Taiwanese manufacturing firms, using structural equation modeling. Findings The study provides insights into how supply chain members can reinforce their operating frontier, trajectory and absorptive capacity activities to improve proactive and reactive dimension of supply chain resilience. Research limitations/implications The resultant findings cannot be generalized for all forms of supply chains, as they exclusively reflect those in Taiwan. With the research model developed, cross-industrial studies on various forms of supply chains would be worth conducting to investigate whether their inter-relationship effects differ in relation to inter-organizational supply chain resilience. Practical implications This study provides multiple insights for managers and practices seeking to improve inter-organizational supply chain resilience, which have become increasingly popular because their factors enhance coping strategies to achieve corporate goals. The proactive and reactive dimension of supply chain resilience can be effectively improved by enhancing trajectory, absorptive capacity and operating frontier. Originality/value This empirical research attempted to fill the gaps created by trajectory and resource-based perspectives in inter-organizational supply chain resilience. This study reveals how supply chain members can reinforce the factors of their coping strategies (i.e. operating frontier, trajectory and absorptive capacity) to make significant improvements, which is not dealt with in previous studies.

The sequence of implementation of reconfigurability core characteristics in manufacturing systems

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Isabela Maganha ◽  
Cristovao Silva ◽  
Luis Miguel D.F. Ferreira
Keyword(s):  
Structural Equation ◽  
Manufacturing Systems ◽  
Statistical Processing ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Sampling Frame ◽  
Content Type ◽  
The Core ◽  
Core Characteristics

PurposeThe objective of this study is to propose a sequence of implementation of the core characteristics of reconfigurability: modularity, integrability, diagnosability, adaptability and customization. For this purpose, the relationships among the core characteristics and Industry 4.0 technologies are analyzed as well as the impacts of one core characteristic on another.Design/methodology/approachThis study presented tests and validated two hypothesized models based on the literature. This paper was based on a questionnaire survey. Portuguese manufacturing companies were the sampling frame. In total, 600 questionnaires were distributed and a total of 112 responses were eligible for statistical processing, representing a response rate of 18.7%. Structural equation modeling (SEM) was used to hypothesize the sequence of implementation of the core characteristics of reconfigurability.FindingsThe findings presented a roadmap to implement reconfigurability, which implies significant managerial contributions on how to make the transition from conventional to reconfigurable manufacturing systems (RMSs). This highlights the importance of the sequence of implementation of the core characteristics in order to make the most of each to achieve reconfigurability.Originality/valueImplementing reconfigurability is crucial to manufacturing companies to respond to changes in production requirements and market fluctuations quickly. However, there is a gap between theory and practice in regard to achieve reconfigurability in existing manufacturing systems. This gap includes (1) understanding the type of relationships among the core characteristics of reconfigurability, (2) understanding the influence that one core characteristic has on another and (3) establishing a sequence of implementation for the core characteristics. This study makes a contribution to fill this gap in the research area.

The Measurement Invariance of the Short Dark Triad

2020 ◽  
Vol 41 (4) ◽  
pp. 207-218
Author(s):  
Mihaela Grigoraș ◽  
Andreea Butucescu ◽  
Amalia Miulescu ◽  
Cristian Opariuc-Dan ◽  
Dragoș Iliescu
Keyword(s):  
Structural Equation Modeling ◽  
Item Response ◽  
Structural Equation ◽  
Dark Triad ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Scale Level ◽  
High Stake ◽  
Differential Functioning ◽  
Item Functioning

Abstract. Given the fact that most of the dark personality measures are developed based on data collected in low-stake settings, the present study addresses the appropriateness of their use in high-stake contexts. Specifically, we examined item- and scale-level differential functioning of the Short Dark Triad (SD3; Paulhus & Jones, 2011 ) measure across testing contexts. The Short Dark Triad was administered to applicant ( N = 457) and non-applicant ( N = 592) samples. Item- and scale-level invariances were tested using an Item Response Theory (IRT)-based approach and a Structural Equation Modeling (SEM) approach, respectively. Results show that more than half of the SD3 items were flagged for Differential Item Functioning (DIF), and Exploratory Structural Equation Modeling (ESEM) results supported configural, but not metric invariance. Implications for theory and practice are discussed.

scholarly journals Paternalistic Leadership and Innovative Behavior: Psychological Empowerment as a Mediator

2019 ◽  
Vol 11 (6) ◽  
pp. 1770 ◽  
Author(s):  
Alisher Dedahanov ◽  
Faridun Bozorov ◽  
Sanghyun Sung
Keyword(s):  
Leadership Styles ◽  
Structural Equation ◽  
Equation Modeling ◽  
Manufacturing Companies ◽  
Innovative Behavior ◽  
Paternalistic Leadership ◽  
Authoritarian Leadership ◽  
Mediating Role ◽  
Benevolent Leadership

Purpose: The aim of this study is to examine the mediating role of empowerment on the relationship between paternalistic leadership styles such as benevolent, moral, and authoritarian and employee innovative behavior. Design/methodology/approach: The data were collected from 390 employees of manufacturing companies in the Republic of Korea. To assess the validity of hypotheses we used a structural equation modeling procedure. Findings: The findings suggest that empowerment mediates the relationships among moral and authoritarian leadership styles and employee innovative behavior. However, results indicate that employee innovative behavior does not mediate the associations between benevolent leadership style and employee innovative behavior. Originality/value: Our work is the first to investigate the mediating role of empowerment on the link between paternalistic leadership styles such as benevolent, moral, and authoritarian and employee innovative behavior.

scholarly journals Does Job Embeddedness Mediate the Effect of Resilience on Cabin Attendants’ Career Satisfaction and Creative Performance?

2021 ◽  
Vol 13 (9) ◽  
pp. 5104
Author(s):  
Aram Eslamlou ◽  
Osman M. Karatepe ◽  
Mehmet Mithat Uner
Keyword(s):  
Structural Equation ◽  
Career Satisfaction ◽  
Job Embeddedness ◽  
Performance Outcomes ◽  
Theory And Practice ◽  
Equation Modeling ◽  
Future Research ◽  
Conservation Of Resources ◽  
Creative Performance ◽  
The Impact

An increasing body of research suggests job embeddedness (JE) as a motivational variable influencing employees’ attitudinal and behavioral outcomes such as quitting intentions and task performance. Personal resources have been reported to affect JE and these outcomes. However, little work has investigated the antecedents and consequences of JE among cabin attendants. There is also a dearth of empirical research regarding the mechanism linking resilience to cabin attendants’ affective and performance outcomes. Therefore, drawing on conservation of resources and JE theories, we propose a conceptual model that examines the interrelationships of resilience, JE, career satisfaction (CSAT), and creative performance (CPERF). Moreover, the model explores JE as a mediator of the impact of resilience on CSAT and CPERF. These linkages were tested via data collected from cabin attendants and their pursers. The findings from structural equation modeling reveal that resilience boosts cabin attendants’ JE, CSAT, and CPERF. As predicted, JE is a mediator between resilience and CSAT. Our paper culminates with implications for theory and practice as well as future research directions.

Fostering Product Innovation Through Digital Transformation and Absorptive Capacity

2020 ◽  
Vol 17 (06) ◽  
pp. 2050040
Author(s):  
Alejandro Coronado-Medina ◽  
Jose Arias-Pérez ◽  
Geovanny Perdomo-Charry
Keyword(s):  
Structural Equation Modeling ◽  
Survey Data ◽  
Absorptive Capacity ◽  
Product Innovation ◽  
Structural Equation ◽  
Digital Transformation ◽  
Mediating Effect ◽  
Equation Modeling ◽  
The Relationship

This paper analyzes the mediating effect of absorptive capacity (AC) on the relationship between digital transformation from e-business capabilities (EBC) perspective and product innovation (PI). Structural equation modeling (SEM) was carried out with the survey data from a sample of firms that belong mainly to highly digitalized sectors. The results indicate the existence of a full mediation, which means knowledge derived from the digital operation of the business can only result in PI if AC plays an intermediation role. Hence, this finding calls into question the idea that digitalization alone and automatically acts as a PI driver.

Comprehending a knowledge framework as a source of dynamic capabilities in IJVs through PLS-SEM

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Madhavi Kapoor ◽  
Vijita Aggarwal
Keyword(s):  
Knowledge Transfer ◽  
Absorptive Capacity ◽  
Structural Equation ◽  
Dynamic Capabilities ◽  
Global Market ◽  
Innovation Performance ◽  
International Joint Ventures ◽  
Mediation Effect ◽  
Equation Modeling ◽  
Content Type

Purpose This study aims to investigate the relationship among knowledge transfer enablers, knowledge transfer process, absorptive capacity and innovation performance in the context of Indian international joint ventures (IJVs). These elements are woven with the thread of dynamic capabilities theory (DCT) into an integrated framework. Design/methodology/approach Data analysis is conducted on a quantitative survey of 196 IJVs with partial least squares structural equation modeling as the statistical technique. Findings Co-learning strategy, collaborative trust culture, information technology-based resources and systems and organizational structural design are found to be significant knowledge transfer enablers. Absorptive capacity has a complementary partial mediation effect on the positive relationship between knowledge transfer and innovation performance of Indian IJVs. Research limitations/implications The study has pioneered in explicating the criticality of IJV’s internal dynamics to cope with the global market dynamism in a much needed Indian context. Practitioners must focus on building dynamic capabilities in IJVs to make them sustainably competitive, as proposed and evaluated by this study. Further, IJV managers need to strategize their resources, routines and structure dynamically to foster knowledge transfer and innovativeness. Originality/value The comprehensive model on DCT offered by this study is rare to match in literature with a completely new context, which is the need of the hour.

The effect of knowledge management on intellectual capital, social capital, and firm innovation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mahdi Salehi ◽  
Mohammad Ali Fahimi ◽  
Grzegorz Zimon ◽  
Saeid Homayoun
Keyword(s):  
Social Capital ◽  
Knowledge Management ◽  
Intellectual Capital ◽  
Chief Executive Officers ◽  
Structural Equation ◽  
Chief Executive ◽  
Equation Modeling ◽  
Capital Social ◽  
Manufacturing Companies ◽  
Content Type

Purpose This study aims to analyze the literature on knowledge management on intellectual capital, social capital and its contribution to Iranian companies’ innovation. Design/methodology/approach To investigate knowledge management’s relationship on intellectual capital, social capital and innovation, using structural equation modeling based on data collected from 205 chief executive officers, production managers and marketing managers of Iranian companies. The research instrument is a standard questionnaire consisting of 109 questions in which 5 of them are demographic questions, 26 questions were asked to reveal the knowledge management process, 40 questions for intellectual capital, 21 for social capital and 17 for innovation. Findings The results show that knowledge management has a positive and significant relationship between intellectual capital and social capital. Knowledge management did not have a significant effect on innovation. However, intellectual capital and social capital have a significant effect on innovation. On the other hand, knowledge management mediated by intellectual capital and social capital has a positive and significant indirect effect on innovation. Originality/value The paper includes the implications for developing knowledge management and intellectual, social capital leading to innovation in manufacturing companies. Knowledge management can improve the innovation performance of a company if it is shared and applied effectively. This study addresses an important subject and the findings may be used by professionals and managers or another person interested in advancing knowledge management that leads to innovation.

Antecedents of horizontal logistics collaboration in agri-food supply chains

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Badraoui ◽  
Ivo van der Lans ◽  
Youssef Boulaksil ◽  
Jack G.A.J. van der Vorst
Keyword(s):  
Supply Chains ◽  
Food Supply ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Content Type ◽  
Operational Conditions ◽  
Food Supply Chains ◽  
The Impact ◽  
The Relationship

PurposeThis study investigates the impact of agri-food supply chains (AFSCs) characteristics on the antecedents of horizontal logistics collaboration (HLC). Specifically, the study compares the relationship between collaboration activities and outcomes for companies in and outside AFSCs.Design/methodology/approachFirst, a survey was used to collect data from different industries. Second, confirmatory factor analysis and structural equation modeling were applied to compare the measurement and structural models from different industry categories.FindingsThe results support the premise that collaboration improves trust and commitment in the relationship, which in turn enhance satisfaction. The results also show the existence of a minor influence of AFSCs characteristics on HLC antecedents, in the form of an indirect impact of dedicated investments on commitment.Practical implicationsThe factors having a significant influence on the collaboration outcomes and their respective effects are generally similar across food and nonfood supply chains, providing opportunities for interdisciplinary and collaboration experiences.Originality/valueThis research contributes to the body of knowledge on interfirm collaboration by considering the specificities of HLC. It also highlights the importance of conducting contingency research on collaborative experiences, as firms from different industry contexts operate under distinct operational conditions.

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