The Experts below are selected from a list of 318282 Experts worldwide ranked by ideXlab platform
Amy L Pablo - One of the best experts on this subject based on the ideXlab platform.
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determinants of acquisition integration level a decision making Perspective
Academy of Management Journal, 1994Co-Authors: Amy L PabloAbstract:Executives of 56 acquiring organizations participated in policy-capturing research that examined how the task, cultural, and political characteristics of acquisitions influence decisions about levels of integration. Although task-related characteristics entered most heavily into managers' decision models, cultural and political factors were also important. These results suggest that an understanding of acquisition integration is best achieved by viewing integration design decisions through multiple theoretical lenses. Furthermore, although industry and acquisition experience explained some variation in integration decision policies, results suggest that other individual or organization-level factors are also at work.
Chunbing Bao - One of the best experts on this subject based on the ideXlab platform.
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a knowledge based risk measure from the fuzzy multicriteria decision making Perspective
IEEE Transactions on Fuzzy Systems, 2019Co-Authors: Chunbing BaoAbstract:Risk measures play significant roles in determining the magnitude of risks. The traditional risk measures consider only the consequence $(C)$ and the probability $(P)$ and ignore the support of the knowledge behind to estimate $C$ and $P$ . Several researchers have suggested adding knowledge as a third dimension in the risk measures. However, the issues of how to embed the dimension of knowledge in the risk measures to output an explicit expression of the risk measure and how to measure the strength of knowledge remain unresolved. This paper proposes a new risk measure incorporating the dimension of knowledge, apart from $C$ and $P$ . It is shown that the proposed risk measure has the form of traditional risk measures when the risk assessor has full knowledge. In addition, a fuzzy multicriteria Decision-Making (MCDM) method is employed to assess the strength of knowledge. In the fuzzy MCDM method, an entropy optimization problem is solved to obtain fuzzy measures, which are critical for determining the score of the strength of knowledge. Finally, the proposed method is applied to a project risk assessment, showing the feasibility of the method.
Glyptou K - One of the best experts on this subject based on the ideXlab platform.
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Risk-induced competitive productivity in times of recession: a chaordic tourism Decision-Making Perspective
'Emerald', 2021Co-Authors: Pappas N, Glyptou KAbstract:Abstract Purpose This study aims to explore the interface of competitive productivity (CP) levels in times of turbulence. Design/methodology/approach Drawing from a sample of 507 Athenian holidaymakers, the study uses a fuzzy-set qualitative comparative analysis (fsQCA) to examine the chaordic systems amongst perceived risks (social; destination; price; quality) in tourism purchasing intentions. It considers three grouping variables (age; monthly income; trip [domestic; overseas]). It further evaluates the effect sizes of those risks upon purchasing intentions by complementary using necessary condition analysis (NCA). Findings fsQCA revealed three sufficient configurations: price-quality nexus (micro); generated experience (meso) and perceived destination image (macro). NCA showcased that the effect size of the examined perceived risks is relatively low, while destination risks have the highest impact. Research limitations/implications Only a few studies use fsQCA and NCA in the field of tourism and hospitality studies thus, their full potential and implications of exploring the interface of tourism Decision-Making components with CP levels are still unexplored. Originality/value This is the first study examining the nonlinearity of risk-induced Decision-Making triggers of holidaymakers affected by the recession in line with the principles of CP. Its theoretical contribution lays in the exploration of the interface of CP and its three levels of application (micro [tourist], meso [firm/business], macro [destination]) in times of turbulence. Managerially, it strengthens the assumption that CP and customer loyalty are strongly associated even in times of turbulence when destinations and firms should make a strong point to maintain their competitive edge. Methodologically, the study highlights the value of fsQCA for identifying multiple pathways, a relatively new method in tourism. Furthermore, it introduces NCA, a new complementary method in tourism research
Glyptou Kyriaki - One of the best experts on this subject based on the ideXlab platform.
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Risk-induced Competitive Productivity (CP) in Times of Recession: a Chaordic Tourism Decision-Making Perspective
'Emerald', 2021Co-Authors: Pappas Nikolaos, Glyptou KyriakiAbstract:Purpose: The study explores the interface of Competitive Productivity (CP) levels in times of turbulence. Methodology: Drawing from a sample of 507 Athenian holidaymakers, the study employs a fuzzy-set Qualitative Comparative Analysis (fsQCA) to examine the chaordic systems amongst perceived risks (social; destination; price; quality) in tourism purchasing intentions. It considers three grouping variables (age; monthly income; trip [domestic; overseas]). It further evaluates the effect sizes of those risks upon purchasing intentions by complementary employing Necessary Condition Analysis (NCA). Findings: fsQCA revealed three sufficient configurations: (i) price-quality nexus (micro) (ii) generated experience (meso) and (iii) perceived destination image (macro). NCA showcased that the effect size of the examined perceived risks is relatively low, whilst destination risks have the highest impact. Implications: Only a few studies employ fsQCA and NCA in the field of tourism and hospitality studies thus, their full potential and implications of exploring the interface of tourism Decision-Making components with Competitive Productivity (CP) levels is still unexplored. Originality: This is the first study examining the nonlinearity of risk-induced Decision-Making triggers of holidaymakers affected by recession in line with the principles of Competitive Productivity (CP). Its theoretical contribution lays in the exploration of the interface of Competitive Productivity (CP) and its three levels of application (microtourist, meso firm/business , macro destination) in times of turbulence. Managerially, it strengthens the assumption that Competitive Productivity (CP) and customer loyalty are strongly associated even in times of turbulence when destinations and firms should make a strong point to maintain their competitive edge. Methodologically, the study highlights the value of fsQCA for identifying multiple pathways, a relatively new method in tourism. Furthermore, it introduces NCA, a new complementary method in tourism research
Pappas N - One of the best experts on this subject based on the ideXlab platform.
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Risk-induced competitive productivity in times of recession: a chaordic tourism Decision-Making Perspective
'Emerald', 2021Co-Authors: Pappas N, Glyptou KAbstract:Abstract Purpose This study aims to explore the interface of competitive productivity (CP) levels in times of turbulence. Design/methodology/approach Drawing from a sample of 507 Athenian holidaymakers, the study uses a fuzzy-set qualitative comparative analysis (fsQCA) to examine the chaordic systems amongst perceived risks (social; destination; price; quality) in tourism purchasing intentions. It considers three grouping variables (age; monthly income; trip [domestic; overseas]). It further evaluates the effect sizes of those risks upon purchasing intentions by complementary using necessary condition analysis (NCA). Findings fsQCA revealed three sufficient configurations: price-quality nexus (micro); generated experience (meso) and perceived destination image (macro). NCA showcased that the effect size of the examined perceived risks is relatively low, while destination risks have the highest impact. Research limitations/implications Only a few studies use fsQCA and NCA in the field of tourism and hospitality studies thus, their full potential and implications of exploring the interface of tourism Decision-Making components with CP levels are still unexplored. Originality/value This is the first study examining the nonlinearity of risk-induced Decision-Making triggers of holidaymakers affected by the recession in line with the principles of CP. Its theoretical contribution lays in the exploration of the interface of CP and its three levels of application (micro [tourist], meso [firm/business], macro [destination]) in times of turbulence. Managerially, it strengthens the assumption that CP and customer loyalty are strongly associated even in times of turbulence when destinations and firms should make a strong point to maintain their competitive edge. Methodologically, the study highlights the value of fsQCA for identifying multiple pathways, a relatively new method in tourism. Furthermore, it introduces NCA, a new complementary method in tourism research
