scholarly journals Linking Supply Chain Network Complexity to Interdependence and Risk-Assessment: Scale Development and Empirical Investigation

2015 ◽  
Vol 17 (1) ◽  
pp. 1-12 ◽  
Author(s):  
Samyadip Chakraborty
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Structural Equation ◽  
The Body ◽  
Equation Modeling ◽  
Supply Chain Network ◽  
Managerial Decision ◽  
Empirically Supported ◽  
Body Of Knowledge ◽  
Managerial Implications

Concepts like supply chain network complexity, interdependence and risk assessment have been prominently discussed directly and indirectly in management literature over past decades and plenty of frameworks and conceptual prescriptive research works have been published contributing towards building the body of knowledge. However previous studies often lacked quantification of the findings. Consequently, the need for suitable scales becomes prominent for measuring those constructs to empirically support the conceptualized relationships. This paper expands the understanding of supply chain network complexity (SCNC) and also highlights its implications on interdependence (ID) between the actors and risk assessment (RAS) in transaction relationships. In doing so, SCNC and RAS are operationalized to understand how SCNC affects interdependence and risk assessment between the actors in the supply chain network. The contribution of this study lies in developing and validating multi-item scales for these constructs and empirically establishing the hypothesized relationships in the Indian context based on firm data collected using survey–based questionnaire. The methodology followed included structural equation modeling. The study findings indicate that SCNC had significant relationship with interdependence, which in turn significantly affected risk assessment. This study carries both academic and managerial implications and provides an empirically supported framework linking network complexity with the two key variables (ID and RAS), playing crucial roles in managerial decision making. This study contributes to the body of knowledge and aims at guiding managers in better understanding transaction relationships.

Event innovation induced corporate branding

2017 ◽  
Vol 29 (3) ◽  
pp. 862-882 ◽  
Author(s):  
Fiona X. Yang ◽  
Sherry Xiuchang Tan
Keyword(s):  
Corporate Branding ◽  
Structural Equation ◽  
Corporate Image ◽  
The Body ◽  
Equation Modeling ◽  
Future Research ◽  
Event Management ◽  
Content Type ◽  
Body Of Knowledge ◽  
Corporate Loyalty

Purpose This paper aims to empirically investigate how event innovation may induce desirable corporate branding. Design/methodology/approach A survey yielded 280 complete responses from tourists who had attended an event in Macau. Structural equation modeling was used to test the innovation-corporate loyalty framework through perceived event value and corporate image, with a multi-group comparison to examine differences between first-time and repeat customers. Findings The results indicate that innovation is not only the key to value enhancement of the event but also an efficacious instrument of branding the parent company and building corporate loyalty; only product-related innovation has a significant impact on event value; both functional and emotional values induce a more favorable corporate image; and event-induced corporate branding is more effective in securing repeat business than attracting new clientele. Practical implications The findings help hospitality operators and event planners to leverage innovative events for corporate branding and cater to different customer segments by providing distinct marketing strategies. Originality/value The study contributes to the body of knowledge regarding event management and corporate branding and sheds light on future research to explore the initiative and benefit of pushing forward event innovation.

scholarly journals Developing a Wine Experience Scale: A New Strategy to Measure Holistic Behaviour of Wine Tourists

2020 ◽  
Vol 12 (19) ◽  
pp. 8055
Author(s):  
Vasco Santos ◽  
Paulo Ramos ◽  
Nuno Almeida ◽  
Enrique Santos-Pavón
Keyword(s):  
Structural Equation ◽  
Traditional Approach ◽  
Academic Research ◽  
The Body ◽  
Measurement Tool ◽  
Wine Tourism ◽  
Body Of Knowledge ◽  
New Strategy ◽  
Managerial Implications ◽  
Validation Tool

This study develops a scale to measure wine tourism experiences and was tested in Portugal, in two of the main wine tourism centres: Porto and Madeira. The wine experience scale combines experience traits with the traditional approach to scales related to wine tourism. The development of the scale follows the most recognised validated procedures. Data were collected from a total of 647 international wine tourists in the wine cellars of the two main fortified wine tourism regions visiting areas: Porto and Madeira. Structural equation modelling (SEM-AMOS) was used as the main analysis and validation tool. The resulting 18-item wine experience scale comprises four major dimensions: (1) Wine storytelling, (2) wine tasting excitement, (3) wine involvement, and (4) winescape. All these showed reliable and validated indicators. This new scale presents a valid new tool to better measure and evaluate experiences in a wine tourism setting. This study offers a broad range of use for academics, managers, planners, and practitioners. It shows how a new measurement tool focused on the wine tourism experience in terms of several outcomes and applications, addressing important practical managerial implications, can have an impact on academic research. Most previous tourism scales still fail to measure the specifics of wine settings. This is the first scale that comprises the dimensions of experience with wine senses, applied in a relevant wine destination where research is still limited. The results are relevant in boosting the increasingly recognized awareness of Portugal as wine tourism, as well as bringing experience scales to the body of knowledge.

scholarly journals PERANAN EKOLABEL DALAM NIAT PEMBELIAN: SUATU STUDI EMPIRIS PADA MEREK THE BODY SHOP

2018 ◽  
Vol 8 (3) ◽  
pp. 504
Author(s):  
Vincent Riyanto ◽  
Sharon B. Soesanto ◽  
Sabrina O. Sihombing
Keyword(s):  
Structural Equation ◽  
Sampling Method ◽  
Positive Relationship ◽  
Total Sample ◽  
The Body ◽  
Equation Modeling ◽  
Behavioral Variables ◽  
Managerial Implications ◽  
The Body Shop ◽  
The Relationship

This research aims to assess the relationship between behavioral variables on the environment: ecolabel awareness, trust, ecolabel knowledge, ecolabel availability, and environmental concerns of intention to buy. Data was collected through questionnaires with non-probability sampling method which included a total sample of 230 respondents. Hypothesis testing was conducted by applying Structural Equation Modeling (SEM). The results shows that there are six out of ten supported hypotheses and four unsupported hypotheses. The six hypotheses supported are (1) there is positive relationship between attitude and trust in buying environmentally friendly product, (2) there is positive relationship between ecolabel awareness and ecolabel attention, (3) there is positive relationship between ecolabel awareness and intention to buy, (4) there is positive relationship between  trust in buying environmentally product and ecolabel attention, (5) there is positive relationship between trust in buying environmentally product and intention to buy, and (6) there is positive relationship between ecolabel availability and  ecolabel attention. This research also contributes theoretical contributions, managerial implications, and recommendations for further research

Supply chain collaboration and firm’s performance

2018 ◽  
Vol 31 (3) ◽  
pp. 358-379 ◽  
Author(s):  
Farhad Panahifar ◽  
P.J. Byrne ◽  
Mohammad Asif Salam ◽  
Cathal Heavey
Keyword(s):  
Supply Chain ◽  
Information Sharing ◽  
Structural Equation ◽  
The Body ◽  
Future Research ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Body Of Knowledge ◽  
Effective Collaboration ◽  
Trust Information

Purpose The purpose of this paper is to identify and assess the interrelationships between various characteristics of information sharing and trust and their criticality for effective information-centred supply chain collaboration initiatives and, in turn, its criticality to overall firm’s performance. Design/methodology/approach A survey of 189 executives from different firms was conducted and the resulting data were analysed to investigate how collaboration enablers affect effective collaboration and to determine its impacts on organisational performance. Structural equation modelling through partial least squares is used to study the relationships between four enablers (trust, information readiness, information accuracy and information security), perceived collaboration success, and two outcomes (sales growth and overall operational performance). Findings The empirical results indicate that three collaboration enablers including trust, information readiness and secure sharing of information improve supply chain collaboration. The present study finds that “secure sharing of information” was the most important factor in fostering information sharing-centred collaboration. The present study also demonstrates that effective collaboration positively and significantly influences on firm’s performance. Practical implications This study provides researchers and practitioners with a more comprehensive understanding about the information sharing-centred collaboration, its enablers and effects on firms’ performance in a supply chain context. Future research should focus on developing additional constructs that may capture other drivers of effective collaboration. Originality/value The present study makes an empirical contribution to the body of knowledge by investigating an integrated framework focussing on the enablers of collaboration through information sharing and its impact on firms’ performance.

Supply chain collaboration in performance-based contracting: an empirical study

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hasan Uvet ◽  
Hasan Celik ◽  
Sedat Cevikparmak ◽  
Saban Adana
Keyword(s):  
Supply Chain ◽  
Structural Equation ◽  
Convincing Evidence ◽  
The Body ◽  
Amazon Mechanical Turk ◽  
Equation Modeling ◽  
Supply Chain Collaboration ◽  
Content Type ◽  
Using Data ◽  
The Impact

PurposeDespite the significant increase in the adoption of performance-based contracting (PBC) in various industries, the primary value drivers of it are still not clear. Considering a lack of empirical evidence for PBC, this study investigates the effects of collaboration between the suppliers to understand the value offerings created in PBC by empirical findings. The purpose of this paper is to examine how supply chain collaboration (SCC) affects PBC benefits.Design/methodology/approachUsing data from 381 survey participants who hold the title of manager or above, hypotheses are tested using structural equation modeling (SEM).FindingsThe results reveal that a strong and positive relationship between SCC and PBC benefits.Research limitations/implicationsOne of the limitations of this research is the collection of data through the Amazon Mechanical Turk online service. The experience level of participants in PBC and the absence of validation of these scale items by industrial experts are other limitations of this study. Nonetheless, the authors found convincing evidence that SCC has a positive effect on PBC benefits.Practical implicationsThe findings highlight the importance of SCC to increase financial, operational and non-financial benefits of PBC for practitioners. The findings offer guidance for managers aiming to increase PBC benefits through SCC.Originality/valueThis is the first study to empirically examine the impact of SCC for better PBC and contributes to the body of knowledge by providing empirical findings in a PBC context. This research also develops valid and reliable instruments to measure PBC benefits through rigorous empirical and statistical analysis that can be used in future studies.

scholarly journals A company’s relational strategy: Linkage between strategic choices, attributes, and outcomes

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254531
Author(s):  
Agnieszka Zakrzewska-Bielawska ◽  
Dagmara Lewicka
Keyword(s):  
Supply Chain ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
International Markets ◽  
Equation Modeling ◽  
Strategic Choices ◽  
Organizational Relationships ◽  
Supply Chain Relationships ◽  
Managerial Implications ◽  
Market Benefits

Nowadays, the idea of firms’ atomization is rejected and companies are perceived as entities embedded in inter-organizational relationships and their configurations, including dyads and networks. The relational view in strategic management thus prompts research on a firm’s relational strategy. This paper taps this gap considering links between strategic choices and attributes of a company’s inter-organizational relationships, as well as the outcomes achieved by collaboration with different groups of stakeholders. We test the model based on research carried out on a representative sample of 400 enterprises operating in Poland and on international markets. The results of structural equation modeling show that 1) the outcomes of collaboration reflect market benefits and are dependent on the durability of the inter-organizational relationships and the heterogeneity of the supply chain relationships, 2) durability as an attribute of the relational strategy depends on the choice of how to create and appropriate value, and 3) in turn, the attribute of heterogeneity of the relational strategy depends on what type of partners are selected. Thereby, we deliver managerial implications on how to create a relational strategy to achieve a relational rent and better a company’s market position.

scholarly journals PENGEMBANGAN MODEL PENGUKURAN KINERJA AGRI- FOOD SUPPLY CHAIN BERKELANJUTAN BERBASIS PENGELOLAAN RISIKO

2018 ◽  
Vol 3 (2) ◽  
pp. 32
Author(s):  
Anggriani Profita ◽  
Deasy Kartika Rahayu
Keyword(s):  
Risk Assessment ◽  
Supply Chain ◽  
Food Supply ◽  
Convergent Validity ◽  
Structural Equation ◽  
Equation Modeling ◽  
Supply Chain Risk ◽  
Food Supply Chain ◽  
Inner Model ◽  
Composite Reliability

Risiko dan ketidakpastian selalu menjadi isu penting dalam pengelolaan rantai pasok. Khususnya dalam agri- food supply chain (AFSC), kompleksitas pengelolaan risiko dan ketidakpastian meningkat karena karakteristik produk hasil pertanian yang mudah rusak, serta sifat produksinya yang sebagian besar didasarkan pada faktor cuaca dan proses biologi yang tidak terduga. Oleh karena itu, diperlukan upaya pengelolaan risiko yang menyajikan penilaian terhadap faktor-faktor yang dapat melemahkan daya saing dan kinerja AFSC. Penelitian ini mengintegrasikan kerangka pengukuran kinerja AFSC dan konsep Rapid Agricultural Supply Chain Risk Assessment, dengan memperhatikan aspek-aspek berkelanjutan yang meliputi aspek ekonomi (profit), sosial (people), dan lingkungan (planet). Kerangka teoritis yang dihasilkan diuji menggunakan Structural Equation Modeling (SEM). Kuesioner diberikan kepada 193 petani tanaman pangan yang tersebar di sentra- sentra pertanian Kabupaten Paser dan PPU. Berdasarkan analisis model konstruk (outer model), seluruh indikator memenuhi convergent validity, kecuali indikator PR12 yang berkaitan dengan risiko regulasi hukum dan birokrasi. Oleh karena itu, indikator ini dikeluarkan dari konstruk model penelitian. Setelah semua indikator tervalidasi, selanjutnya dilakukan uji reliabilitas dengan melihat nilai composite reliability dari blok indikator yang mengukur setiap konstruk. Seluruh konstruk memiliki nilai di atas 0.7, sehingga semuanya dapat dikatakan reliabel. Adapun berdasarkan analisis model struktural (inner model), dapat disimpulkan bahwa pengelolaan risiko berpengaruh signifikan terhadap kinerja AFSC dan perspektif berkelanjutan. Akan tetapi, variabel perspektif berkelanjutan tidak berpengaruh signifikan terhadap kinerja AFSC.

Building loyalty in e-commerce

2016 ◽  
Vol 50 (4) ◽  
pp. 431-461 ◽  
Author(s):  
Lin Xiao ◽  
Zixiu Guo ◽  
John D’Ambra ◽  
Bin Fu
Keyword(s):  
Structural Equation ◽  
Information Quality ◽  
The Body ◽  
Equation Modeling ◽  
Web Based ◽  
Content Type ◽  
Theoretical Contribution ◽  
Body Of Knowledge ◽  
Integrated Research ◽  
Salient Factor

Purpose Although recent years have shown increasing popularity of e-commerce worldwide, there is still a lack of studies comprehensively exploring trust issue in e-commerce. Based on trust transfer theory and signaling theory, the purpose of this paper is to present an integrated research model to test the relationships between trust dimensions and e-loyalty, interactions among trust dimensions, as well as antecedents of different trust dimensions. Design/methodology/approach Data were collected through a web-based survey in Chinese markets and structural equation modeling with partial least squares was used to analyze the data. Findings The results identified that three trust dimensions all have significant impacts on e-loyalty, and relationships existed in different trust dimensions. Moreover, information quality and security protection are important factors determining institutional trust while store reputation is the most salient factor determining interpersonal trust. Originality/value This research contributes to the body of knowledge on trust by exploring the nature of trust with a multidimensional scale. Another theoretical contribution is the provision of a comprehensive understanding of the trust antecedents in e-commerce. Furthermore, this research benefits the companies doing e-businesses by allowing them to better understand how to improve consumers’ trust in the online environment and thus to retain and attract more loyal customers and succeed in online businesses.

scholarly journals Training Perception and Innovative Behavior of SME Employees: Examining the Mediating Effects of Firm Commitment

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110672
Author(s):  
Muhammad Farhan Jalil ◽  
Wasim Ullah ◽  
Zeeshan Ahmed
Keyword(s):  
Structural Equation ◽  
Management Strategies ◽  
The Body ◽  
Mediating Effect ◽  
Equation Modeling ◽  
Innovative Behavior ◽  
Mediating Effects ◽  
Calculative Commitment ◽  
Managerial Implications ◽  
The Relationship

Many critical decisions about an employee’s innovative performance are significantly based on the training results, as they are accountable for a variety of behavioral-related consequences. Training is among the most important human resource management strategies. The aim of this study is to examine the relationship between employees’ perceptions of training and their innovative behavior in the Malaysian SME sector, as well as the mediating effect of affective and calculative commitment on this relationship. Structured questionnaires were used to collect the data. A total of 635 employees from 200 SMEs were selected through a stratified random sampling method, and structural equation modeling was applied to test the relationship. The findings of the study supported the hypothesized relationships, as training in Malaysia significantly engaged SME employees in innovative behavior. Furthermore, the study discovered that affective and calculative commitment have partial mediating effects on the association between training and innovative behavior. In the context of the SME sector, theoretical and managerial implications have been addressed. The originality of the study is that it examines the relationship between employees’ perceptions of training and their innovative behavior in SMEs. The relationship was measured using a multidimensional approach in the study. The research also adds to the body of knowledge by identifying the mediating effect of affective and calculative commitment.

Eco-innovation and the circular economy in the automotive industry

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gonzalo Maldonado-Guzmán ◽  
Jose Arturo Garza-Reyes ◽  
Yesenia Pinzón-Castro
Keyword(s):  
Circular Economy ◽  
Structural Equation ◽  
Positive Impact ◽  
The Body ◽  
Equation Modeling ◽  
Extensive Literature ◽  
Measurement Scales ◽  
Content Type ◽  
Body Of Knowledge ◽  
Auto Parts

PurposeCircular economy is emerging as a new sustainability paradigm. Similarly, eco-innovation is being recognized as one of the most important mechanisms that allow the transition from a linear to a circular economy in production processes, as there is a strong relationship between eco-innovation (eco-innovation of products, processes and management) and circular economy activities. However, the relationship between eco-innovation and circular economy is an issue that has been isolated and little analyzed in the academic literature. Therefore, this research fills this gap by exploring the interdependence between eco-innovation and circular economy.Design/methodology/approachThe research is conducted through an extensive literature review from where a research framework consisting of two measurement scales, 18 items and three hypotheses were developed. A self-administered questionnaire was distributed and 460 responses were obtained from companies in the automotive and auto parts industry in Mexico. The data obtained were analyzed through confirmatory factor analysis, descriptive statistics and structural equation modeling.FindingsThe results suggest that eco-innovation of products, process and management has a significant positive impact on the circular economy of companies in the automotive and auto parts industry.Practical implicationsThe findings of this research can inform managers in the automotive sector and policymakers when formulating and deploying environmentally sustainable strategies.Originality/valueThis paper fills a research gap by expanding the limited body of knowledge that relates eco-innovation and circular economy and providing some evidence of their relationship. The research also allows the unique characteristics of eco-innovation and the circular economy to be understood within a particular context, growing in this manner the body of knowledge on this field.

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