“…Selnes and Sallis [22] argued that a dark side of relationship can have a negative interaction between trust and knowledge exchange behavior on relationship performance. Relational governance is the most important instrument applied by the partners to manage relational risk [9,10]. Managing relational risk requires appropriate relational governance for adaptable control and collaboration simultaneously in a dynamic environment.…”
Section: Relational Governance and Risk Management In Inter-organizatmentioning
confidence: 99%
“…Research on inter-organizational information sharing, have examined uncertainty, facilitators, trust, commitment, and shared vision, among other factors [6]. Little has examined the inter-relationship between relational governance and risk management that affect information sharing and these relationships, despite being an important issue in inter-organizational research [9,10]. It is generally believed that the information sharing is greater when parties have a good relationship [11].…”
Section: Introductionmentioning
confidence: 99%
“…Relational governance and risk management are major perspectives which concern the maintenance of the relationship between supply chain members and mitigate the probability of relational risk behaviors in supply chains [9,10]. Creating superior governance value and managing probable relational risk are fundamental to a firm's long-term survival and success in supply chains.…”
This research explores how inter-organizational relationship interacts with factors affecting the development and implementation of information sharing. On the basis of the resource-based view and relational risk perspective, we developed a model which comprises three research hypotheses with three constructs, including relational benefits, relational risk, and information sharing. The constructs are measured by well-supported measures in the literature. Structural equation modeling was used to analyze survey data collected from 528 manufacturing firms that were among the top 1,000 Taiwanese manufacturing firms of 2011 listed by Business Weekly. The results of the empirical study suggest that relational benefits are critical in ensuring information sharing and mitigate relational risk in the process. The findings of the study provide useful insights into how supply chain members can reinforce their relational benefits and mitigate probable risks so as to improve their collaborative behaviors and in turn enhance information sharing for the supply chain as a whole.
“…Selnes and Sallis [22] argued that a dark side of relationship can have a negative interaction between trust and knowledge exchange behavior on relationship performance. Relational governance is the most important instrument applied by the partners to manage relational risk [9,10]. Managing relational risk requires appropriate relational governance for adaptable control and collaboration simultaneously in a dynamic environment.…”
Section: Relational Governance and Risk Management In Inter-organizatmentioning
confidence: 99%
“…Research on inter-organizational information sharing, have examined uncertainty, facilitators, trust, commitment, and shared vision, among other factors [6]. Little has examined the inter-relationship between relational governance and risk management that affect information sharing and these relationships, despite being an important issue in inter-organizational research [9,10]. It is generally believed that the information sharing is greater when parties have a good relationship [11].…”
Section: Introductionmentioning
confidence: 99%
“…Relational governance and risk management are major perspectives which concern the maintenance of the relationship between supply chain members and mitigate the probability of relational risk behaviors in supply chains [9,10]. Creating superior governance value and managing probable relational risk are fundamental to a firm's long-term survival and success in supply chains.…”
This research explores how inter-organizational relationship interacts with factors affecting the development and implementation of information sharing. On the basis of the resource-based view and relational risk perspective, we developed a model which comprises three research hypotheses with three constructs, including relational benefits, relational risk, and information sharing. The constructs are measured by well-supported measures in the literature. Structural equation modeling was used to analyze survey data collected from 528 manufacturing firms that were among the top 1,000 Taiwanese manufacturing firms of 2011 listed by Business Weekly. The results of the empirical study suggest that relational benefits are critical in ensuring information sharing and mitigate relational risk in the process. The findings of the study provide useful insights into how supply chain members can reinforce their relational benefits and mitigate probable risks so as to improve their collaborative behaviors and in turn enhance information sharing for the supply chain as a whole.
“…Globalization as well as the development of new technologies, such as, firstly, information and communication technologies (ICT), make the situation even harder when it comes to identification and handling of all potential business risks [1,2]. Methodologies, tools or business standards that are traditionally used by organizations in order to deal with business risks and disruptions seem to be insufficient due to the abovementioned issues.…”
Section: Introductionmentioning
confidence: 99%
“…SMEs represent a very important economic pillar in all parts of Europe. This may be illustrated through the following data: (1) In Serbia, a government strategy highlighted SMEs as a very significant economic factor which needs further development as SMEs together account for 99.4% of all enterprises [9]; (2) In the UK, SMEs are recognized as the most influential economic actor accounting for 99.9% of all enterprises; (3) In the EU, recent years have brought about certain issues but SMEs have retained their position as the backbone of the European economy, being more than 98% of all enterprises in 2012 [10]. In the process industry, organizations have to be resilient because of the nature of their business such as the continuous flow of material and connected processes where risk in one process may lead to other unwanted events in other processes.…”
Abstract:The business environment is rapidly changing and puts pressure on enterprises to find effective ways to survive and develop. Since it is almost impossible to identify the multitude of complex conditions and business risks, an organization has to build its resilience in order to be able to overcome issues and achieve long term sustainability. This paper contributes by establishing a two-step model for assessment and enhancement of organizational resilience potential oriented towards Small and Medium Enterprises (SMEs) in the process industry. Using a dynamic modelling technique and statistical tools, a sample of 120 SMEs in Serbia has been developed as a testing base, and one randomly selected enterprise was used for model testing and verification. Uncertainties regarding the relative importance of organizational resilience potential factors (ORPFs) and their value at each level of business are described by pre-defined linguistic expressions. The calculation of the relative importance of ORPFs for each business level is stated as a fuzzy group decision making problem. First, the weighted ORPFs' values and resilience potential at each business level are determined. In the second step, near optimal enhancement of ORPFs' values is achieved by applying a genetic algorithm (GA).
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