Abstract
Purpose
This paper aims to try to investigate how consumers respond to precise versus imprecise promotional rewards at varied probabilities, including small ones and whether the effect is contingent on purchase value and promotion budget.
Design/methodology/approach
Based on reviewing the literature on the ambiguity effect, the certainty effect and small probabilities, the hypotheses are tested by three experimental studies.
Findings
The experiments show that at a small winning probability, promotion with imprecise reward is more attractive than with precise reward. For high value purchases, a small‐probability promotion with imprecise reward performs better than an equally costly 100 percent‐probability promotion with precise reward. However, the difference is shortened for low value purchases. Furthermore, as the promotion budget increases, the ambiguity effect becomes stronger. As a result, the small‐probability promotion with imprecise reward is preferred to the 100 percent‐probability promotion with precise reward at both low and high budget levels.
Research limitations/implications
The present study provides a starting‐point for further research on how to design an effective marketing promotion program with precise or imprecise promotional rewards at varied probabilities.
Originality/value
This research extends previous research on tensile versus precise prices to the region of very low or small probabilities, enriches the literature on “overweighting of small probabilities,” and also significantly enriches the existing theories on decision making under ambiguity.
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Barin Nag, Chaodong Han and Dong-qing Yao
In manufacturing industries, the levels of inventories at all stages (i.e. raw material, work-in-process and finished goods inventories) indicate the firm's competitive…
Abstract
Purpose
In manufacturing industries, the levels of inventories at all stages (i.e. raw material, work-in-process and finished goods inventories) indicate the firm's competitive positioning, strategies, internal processes and relationships with suppliers and downstream customers. The authors identify patterns of manufacturing industries based on levels of raw material and finished goods inventories to classify inbound and outbound supply chain strategies.
Design/methodology/approach
The authors review literature on supply chain inventory strategy and perform cluster analysis to analyze patterns of manufacturing industries based on manufacturing industry data collected from US Census of Bureau. Following Porter's Five Forces Model, the authors perform in-depth case studies of four representative industries to analyze factors driving supply chain strategies, including industry intensity of rivalry, threat of new entrants, threat of substitutes, bargaining power of suppliers, and bargaining power of buyers.
Findings
This study identifies three streams of research on supply chain strategy: Fisher's model and its variations, lean and agile paradigms, and push/pull systems. It finds that whether an industry shows low or high raw materials or finished goods inventories depending on its products, processes, and the dynamics of all forces described in the Five Forces Model.
Research limitations/implications
This study is not able to include supplier selection, production strategies, warehousing and distribution, and even product design into the analysis of supply chain strategy due to data limitation. This study classifies industries based on average inventory levels of raw materials and finished goods, while inventory levels and supply chain strategies for specific firms may vary significantly within each industry.
Originality/value
This study contributes to the supply chain management literature by providing a parsimonious framework of mapping inbound and outbound supply chain inventory strategies, and the results based on the analyses of all US manufacturing industries provide a baseline picture for supply chain management professionals with manufacturing firms.
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Jianhua Zhang, Liangchen Li, Fredrick Ahenkora Boamah, Dandan Wen, Jiake Li and Dandan Guo
Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of…
Abstract
Purpose
Traditional case-adaptation methods have poor accuracy, low efficiency and limited applicability, which cannot meet the needs of knowledge users. To address the shortcomings of the existing research in the industry, this paper proposes a case-adaptation optimization algorithm to support the effective application of tacit knowledge resources.
Design/methodology/approach
The attribute simplification algorithm based on the forward search strategy in the neighborhood decision information system is implemented to realize the vertical dimensionality reduction of the case base, and the fuzzy C-mean (FCM) clustering algorithm based on the simulated annealing genetic algorithm (SAGA) is implemented to compress the case base horizontally with multiple decision classes. Then, the subspace K-nearest neighbors (KNN) algorithm is used to induce the decision rules for the set of adapted cases to complete the optimization of the adaptation model.
Findings
The findings suggest the rapid enrichment of data, information and tacit knowledge in the field of practice has led to low efficiency and low utilization of knowledge dissemination, and this algorithm can effectively alleviate the problems of users falling into “knowledge disorientation” in the era of the knowledge economy.
Practical implications
This study provides a model with case knowledge that meets users’ needs, thereby effectively improving the application of the tacit knowledge in the explicit case base and the problem-solving efficiency of knowledge users.
Social implications
The adaptation model can serve as a stable and efficient prediction model to make predictions for the effects of the many logistics and e-commerce enterprises' plans.
Originality/value
This study designs a multi-decision class case-adaptation optimization study based on forward attribute selection strategy-neighborhood rough sets (FASS-NRS) and simulated annealing genetic algorithm-fuzzy C-means (SAGA-FCM) for tacit knowledgeable exogenous cases. By effectively organizing and adjusting tacit knowledge resources, knowledge service organizations can maintain their competitive advantages. The algorithm models established in this study develop theoretical directions for a multi-decision class case-adaptation optimization study of tacit knowledge.
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Ziboud Van Veldhoven and Jan Vanthienen
This paper aims that digital transformation (DT) is crucial for companies to stay competitive. While research on DT has quickly gained great popularity, the intersection of trade…
Abstract
Purpose
This paper aims that digital transformation (DT) is crucial for companies to stay competitive. While research on DT has quickly gained great popularity, the intersection of trade associations (TAs) and their role in the DT of their members is not yet researched.
Design/methodology/approach
In this paper, the authors conducted 20 interviews with Belgian TAs to investigate the role of a TAs in the DT of its members, and how they drive the DT of its members. In addition, the authors investigate the core tasks of TAs, the need of the different industries to digitalize, and the digital projects the different industries are working on.
Findings
The findings indicate that TAs can be in a prime position to steer the DT of their members, especially for industries comprised of smaller players. Their roles can range from informing roles to true leaders of DT by creating novel products, such as online platforms and driving the entire sector forwards.
Research limitations/implications
These findings call for more research into TAs and how their role can be optimized for steering DT of their members.
Originality/value
This is the first study to extensively study the role of TAs on the DT of their members.
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Jong-Hyeong Kim, Yuchen Xu and Seongseop (Sam) Kim
In a reflection of individuals’ interest in maintaining a healthy lifestyle, nutraceutical restaurants, which provide health benefits, have emerged on the market. However, little…
Abstract
Purpose
In a reflection of individuals’ interest in maintaining a healthy lifestyle, nutraceutical restaurants, which provide health benefits, have emerged on the market. However, little is known about the underlying factors and mechanisms of the consumption of nutraceutical foods. Therefore, grounded in an extended cognitive–affective–conative model, this study examines the role of dining motivations and restaurant attributes in explaining an integrated model that focuses on customers’ loyalty formation process.
Design/methodology/approach
Data were collected from 893 Chinese customers who had recently dined at traditional Chinese medicine restaurants. Using partial least squares structural equation modeling, this study examined the structural relationships among dining motivations, restaurant attributes, customers’ perceived benefits, overall satisfaction, place attachment and revisit intentions.
Findings
The results of a confirmatory factor analysis revealed that two main motivations (i.e. health and traditional culture) and five restaurant attributes (i.e. food, service staff food recommendation, service staff service quality, furniture and tableware and atmosphere) are stimuli that influence customers’ perceived benefits. This study also revealed that four types of perceived benefits (functional, emotional, social and epistemic) significantly affect overall satisfaction and place attachment, which determine revisit intentions.
Research limitations/implications
The findings of this study help identify not only important dining motivations and restaurant attributes but also their roles in loyalty formation with respect to traditional Chinese medicine restaurants. Thus, the results contribute to an improved understanding of how to satisfy customers’ dining motivations and efficiently manage restaurant attributes to strengthen customer loyalty.
Originality/value
This study is among the first to simultaneously examine the effects of customer motivation and restaurant attributes and to explain how they affect customer loyalty behaviors at traditional Chinese medicine restaurants.
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Malik Shahzad Shabbir and Calvin W.H. Cheong
This study aims to explore the association among financial resources, renewable energy, environmental degradation and technological innovation in BRICS economies.
Abstract
Purpose
This study aims to explore the association among financial resources, renewable energy, environmental degradation and technological innovation in BRICS economies.
Design/methodology/approach
To estimate the long-run impacts between these variables, the AMG method of estimation, which incorporates cross-sectional reliance and slope homogeneity, is adopted in this research.
Findings
According to the empirical findings, the long-run coefficients of environmental degradation and technological innovation show a statistically significant and negative impact on renewable sources of energy. Furthermore, a 1% increase in environmental degradation reduces 0.32% of renewable sources of energy in BRICS economies. Whereas only the coefficient of GDP shows a positive and statistically significant impact on renewable sources of energy, which demonstrates that a 1% increase in economic growth causes a 0.02% incline in renewable sources of energy. Therefore, strong policy recommendations are provided to encourage green energy utilization in these economies.
Originality/value
The majority of the participating nations have inexpensive labor and an abundance of resources from nature, which strengthens their appeal. Given that population growth is still quite conservative, this presents a chance for GDP per capita to expand significantly.
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Utbee Monther Hussian Sahan, Amar Hisham Hisham Jaaffar and Romanus Osabohien
This study aims to conduct a comprehensive assessment of the existing literature on green human resource management (GHRM) and its correlation with environmental performance (EP…
Abstract
Purpose
This study aims to conduct a comprehensive assessment of the existing literature on green human resource management (GHRM) and its correlation with environmental performance (EP) and energy saving behavior (ESB) by using the PRISMA methodology.
Design/methodology/approach
A thorough examination was undertaken involving a total of 25 articles which included a diverse range of years and geographic areas.
Findings
The findings suggest a growing emphasis on the intersection of GHRM, EP and ESB, supported by a substantial increase in research in recent times. The literature in question was mostly contributed by Malaysia, Pakistan, Canada and Thailand. Majority of research endeavors were carried out within the context of manufacturing companies. The studies under scrutiny mostly used quantitative research methodologies and often applied the resource-based view (RBV) and theory of planned behavior (TPB) frameworks to investigate the relationships between GHRM, ESB and EP. In addition, structural equation modeling (SEM) has garnered significant attention as a commonly used analytical methodology. This analysis emphasizes the growing importance of GHRM strategies such as green recruiting, green performance management and green remuneration, in fostering sustainable organizational results.
Originality/value
This work offers significant contributions to the existing body of research in this particular sector; shedding light on its present condition and pinpointing prospective avenues for future inquiries.
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This paper aims to explore various tensions related to the diffusion and reception of the New Qing History (NQH) in China, and more specifically, it aims at underlying a recurrent…
Abstract
Purpose
This paper aims to explore various tensions related to the diffusion and reception of the New Qing History (NQH) in China, and more specifically, it aims at underlying a recurrent tension within the core of this debate, between a Global and a Nationalist historical narrative.
Design/methodology/approach
The author’s focus is to analyze various texts published in China between 2006 and 2018.
Findings
The author argues that the intensity of the current debate is partly related on the one hand, to the fact that NQH undermines various aspects of China’s Nationalist teleology and territorial claims and, on the other hand, to the basic difficulty of accepting the coexistence of various historical representations that are risking to weaken contemporary’s justifications of its rising schemes.
Originality/value
The text presents an original reading of some important issues raised by the NQH debate.
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The purpose of this paper is to determine the value of I‐Ching (also called Book of Changes), the ancient Chinese book of wisdom, which has been used for thousands of years to…
Abstract
Purpose
The purpose of this paper is to determine the value of I‐Ching (also called Book of Changes), the ancient Chinese book of wisdom, which has been used for thousands of years to help people make decisions in daily life. Recently, eastern and western scholars have begun discussing how to apply the wisdom of I‐Ching to the field of business administration, particularly decision‐making practices.
Design/methodology/approach
A content analysis method was adopted to uncover possible modern management decision‐making constructs. The single words approach did not find frequently appearing words that integrated decision‐making constructs in the context of I‐Ching. Further uncovering I‐Ching's administrative decision‐making approach, the managerial decision‐making model of I‐Ching is explained, including the premises, the decision contingencies, and the decision process.
Findings
By using an academic comparative analysis method, as it applies to managerial decision making, I‐Ching's early management decision‐making model is subsequently compared with western management decision models, which include rational decision making, bounded‐rationality decision making, intuitive decision making, implicit favorite decision making, and garbage‐can decision making.
Research limitations/implications
The majority of scholars that study I‐Ching focus on “practice divination” research, paying attention to the interpretation or critique of the text only. Unfortunately, related literature based upon a social science research foundation is limited.
Originality/value
The value of I‐Ching was determined to lie in allowing flexibility in the decision‐making process.
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The purpose of this paper is to treat WeChat moments as social media environments and applies the research model to explore the effect of social media environments on perceived…
Abstract
Purpose
The purpose of this paper is to treat WeChat moments as social media environments and applies the research model to explore the effect of social media environments on perceived interactivity from the perspective of environmental psychology.
Design/methodology/approach
This paper proposes social media environments as effective stimuli for future participate in online social interactions. First, two cues of social media environments (user-to-system cues and user-to-user cues) can be important antecedents of users’ perception of interactivity. Second, users’ intention of future participates in online social interactions can be influenced by three dimensions of perceived interactivity (action control, connectedness and responsiveness). Using data from 334 users of WeChat moments, the authors conduct partial least squares analysis to validate the research model.
Findings
The results indicate that both technological and social environments positively affect three dimensions of perceived interactivity, respectively, including action control, connectedness and responsiveness. Moreover, actual findings also suggest that higher perceived interactivity increases users’ intention of future participate in online social interactions.
Originality/value
This work contributes to in-depth research on the relationships between social environments and perceived interactivity. Besides, this paper demonstrates that both technological and social cues of social media environments are significant elements in simulating users’ internal experience and behavioral intention. The main conclusions of this study can be valuable to social media developers and managers.