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– The purpose of this paper is to construct a dynamic information aggregation decision-making model based on variable precision rough set.
Abstract
Purpose
The purpose of this paper is to construct a dynamic information aggregation decision-making model based on variable precision rough set.
Design/methodology/approach
To deal with the dynamic decision-making problems, the grey relational analysis method, grey fixed weight clustering based on the centre triangle whitening weight function and maximum entropy principle is used to establish the dynamic information aggregation decision-making model based on variable precision rough set. The method, to begin with, the grey relational analysis method is used to determine the attributes weights of each stage; taking the proximity of the attribute measurement value and positive and negative desired effect value and the uncertainty of time weight into account, a multi-objective optimisation model based on maximum entropy principle is established to solve the model with Lagrange multiplier method, so that time weights expression are acquired; what is more, the decision-making attribute is obtained by grey fixed weight clustering based on the centre triangle whitening weight function, so that multi-decision-making table with dynamic characteristics is established, and then probabilistic decision rules from multi-criteria decision table are derived by applying variable precision rough set. Finally, a decision-making model validates the feasibility and effectiveness of the model.
Findings
The results show that it the proposed model can well aggregate the multi-stage dynamic decision-making information, realise the extraction of decision-making rules.
Research limitations/implications
The method exposed in the paper can be used to deal with the decision-making problems with the multi-stage dynamic characteristics, and decision-making attributes contain noise data and the attribute values are interval grey numbers.
Originality/value
The paper succeeds in realising both the aggregation of dynamic decision-making information and the extraction of decision-making rules.
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Na Zhang, Haiyan Wang and Zaiwu Gong
Grey target decision-making serves as a pivotal analytical tool for addressing dynamic multi-attribute group decision-making amidst uncertain information. However, the setting of…
Abstract
Purpose
Grey target decision-making serves as a pivotal analytical tool for addressing dynamic multi-attribute group decision-making amidst uncertain information. However, the setting of bull's eye is frequently subjective, and each stage is considered independent of the others. Interference effects between each stage can easily influence one another. To address these challenges effectively, this paper employs quantum probability theory to construct quantum-like Bayesian networks, addressing interference effects in dynamic multi-attribute group decision-making.
Design/methodology/approach
Firstly, the bull's eye matrix of the scheme stage is derived based on the principle of group negotiation and maximum satisfaction deviation. Secondly, a nonlinear programming model for stage weight is constructed by using an improved Orness measure constraint to determine the stage weight. Finally, the quantum-like Bayesian network is constructed to explore the interference effect between stages. In this process, the decision of each stage is regarded as a wave function which occurs synchronously, with mutual interference impacting the aggregate result. Finally, the effectiveness and rationality of the model are verified through a public health emergency.
Findings
The research shows that there are interference effects between each stage. Both the dynamic grey target group decision model and the dynamic multi-attribute group decision model based on quantum-like Bayesian network proposed in this paper are scientific and effective. They enhance the flexibility and stability of actual decision-making and provide significant practical value.
Originality/value
To address issues like stage interference effects, subjective bull's eye settings and the absence of participative behavior in decision-making groups, this paper develops a grey target decision model grounded in group negotiation and maximum satisfaction deviation. Furthermore, by integrating the quantum-like Bayesian network model, this paper offers a novel perspective for addressing information fusion and subjective cognitive biases during decision-making.
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Firms report varied levels of success in relation to using alliances to aid in new product development (NPD). This study aims to investigate internal processes that might…
Abstract
Purpose
Firms report varied levels of success in relation to using alliances to aid in new product development (NPD). This study aims to investigate internal processes that might influence the experience of alliance success. Specifically, this study investigates the role of mediating and moderating mechanisms underlying the alliance orientation (AO)–new product success relationship, while also investigating the impact of the level and consistency of AO. The primary goal is to understand the importance of a firm’s maintaining a consistent focus upon alliance scanning, coordination and learning.
Design/methodology/approach
A survey was conducted to collect data from 141 Taiwanese electronics companies. The proposed model and hypotheses were tested using path analysis in analysis of moment structures.
Findings
AO improves the success of new products indirectly through the enhancement of product program innovativeness and NPD decision-making flexibility. The positive effect of AO on product program innovativeness and NPD decision-making flexibility is heightened when a firm consistently carries out a series of alliance management activities, including alliance scanning, coordination and learning. Market turbulence and the intensity of competition differentially affect the association between product program innovativeness and NPD decision-making flexibility and new product success.
Research limitations/implications
The measures were self-reported and may result in the threat of common method bias. While this study focused upon protecting against and assessing this bias, collecting data from multiple sources would have helped to eliminate the bias. Further, the sample consisted of Taiwanese electronics firms. This makes it difficult to generalize this study’s findings to other industrial contexts.
Practical implications
While AO may be viewed as a dynamic capability, product program innovativeness and NPD decision-making flexibility represent competitive advantage in NPD program and process, respectively. Managers should not focus only on competitive advantage in NPD while overlooking the development of dynamic capabilities, as this study’s results demonstrate that both elements must work in tandem. AO is relevant at higher levels of the organizational hierarchy, while product program innovativeness and decision-making flexibility are operational, demanding cross-functional coordination and involvement within a firm. Senior executives ought to not only confirm the appropriate provision of their resources to activities and actions associated with product program innovativeness and decision-making flexibility in NPD but also continually monitor and assess whether the inputs of AO lead to desirable competitive advantage in the context of NPD.
Originality/value
This study sheds light on the underlying mechanism through which AO improves new product success. This research proposes two different aspects of AO, level and consistency, and empirically identifies their interactive effect in the context of NPD. The findings offer specific guidelines for the assessment and implementation of AO to improve new product success. Consistency, especially, has not been investigated in relation to alliance-generated new product success.
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Hanjo Arms, Mathias Wiecher and Valeska Kleiderman
This paper seeks to describe a new approach to analyzing critical resource investment plans, Dynamic Decision Making (DDM), an A.T. Kearney innovation based on a sophisticated…
Abstract
Purpose
This paper seeks to describe a new approach to analyzing critical resource investment plans, Dynamic Decision Making (DDM), an A.T. Kearney innovation based on a sophisticated modeling process that can improve the quality and transparency of decision making.
Design/methodology/approach
The paper explicates the five components of the novel DDM approach: formal, but narrowly focused, future modeling; improve the understanding and evaluation of risk; design a dynamic strategy; calculate “Total Value” of dynamic strategies and according probability distribution; and formalize the decision making process.
Findings
In a volatile environment, this system, which promotes flexibility and maps out contingency plans, has proven exceptionally useful with clients making large capital investment decisions and “Bet the Company” strategic moves.
Practical implications
Each step in the DDM decision‐making process reveals contingencies and opportunities to react to a competitor, a policy, or an environmental change – and to modify the initial plan as a result.
Originality/value
The DDM total value methodology enables managers to consider both the risks and the value of flexibility when planning a capital investment project.
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Shelley D. Dionne and Peter J. Dionne
Previous literature has compared the effectiveness of different styles of leadership, yet most of this research has not compared different levels of analyses regarding leader…
Abstract
Previous literature has compared the effectiveness of different styles of leadership, yet most of this research has not compared different levels of analyses regarding leader styles or behaviors. This shortcoming often limits our understanding of how leadership acts on a phenomenon of interest to a single level of analysis. This article develops a computational model and describes a levels-based comparison of four types of leadership that represent three different levels: individual, dyad, and group. When examined across a dynamic group decision-making optimization scenario, group-based leadership is found to produce decisions that are closer to optimal than dyadic-based and individual-based leadership. An alternative computational model varying individual cognitive and experience-based components among group members also indicates that group-based leadership produces more optimal decisions. First published in Leadership Quarterly (Dionne, S. D., & Dionne, P. J. (2008). Levels-based leadership and hierarchical group decision optimization: A simulation. Leadership Quarterly, 19, 212–234), this version offers an updated introduction discussing simulation as a theoretical development tool and supplies additional evidence regarding the growth of simulation methods in leadership research.
Nikolina Koporcic, Miika Nietola and John D. Nicholson
The purpose of this paper is to investigate the current industrial marketing and purchasing (IMP) research that has a vague positioning of the bounded rationality of an actor. By…
Abstract
Purpose
The purpose of this paper is to investigate the current industrial marketing and purchasing (IMP) research that has a vague positioning of the bounded rationality of an actor. By borrowing insights from other disciplines, this study aims to develop the IMP approach further by acknowledging the importance of individuals who act and make decisions on behalf of their companies.
Design/methodology/approach
This study is conceptual. By examining the IMP studies in combination with decision-making literature from behavioral economics and psychology, this paper provides a new understanding of the phenomenon in question.
Findings
This study demonstrates that individual decision-making is not as rational as has previously been thought, thus indicating the bounded rationality of the actor. After examining the most common negative emotions that influence the decision-making process, the paper presents a research agenda. It provides a series of research topics and methodological choices for future IMP research endeavors.
Research limitations/implications
As this paper is conceptual, empirical research is needed to examine the role of negative emotions in dynamic decision-making processes.
Practical implications
Managerial implications of this paper are focused on providing instructions for managers on how to deal with negative emotions in dynamic decision-making processes.
Originality/value
To the best of the authors’ knowledge, this paper is one of the first papers that attempts to connect the IMP studies with the dynamics of decision-making by examining negative emotions in the business world.
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Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured…
Abstract
Contemporary literature reveals that, to date, the poultry livestock sector has not received sufficient research attention. This particular industry suffers from unstructured supply chain practices, lack of awareness of the implications of the sustainability concept and failure to recycle poultry wastes. The current research thus attempts to develop an integrated supply chain model in the context of poultry industry in Bangladesh. The study considers both sustainability and supply chain issues in order to incorporate them in the poultry supply chain. By placing the forward and reverse supply chains in a single framework, existing problems can be resolved to gain economic, social and environmental benefits, which will be more sustainable than the present practices.
The theoretical underpinning of this research is ‘sustainability’ and the ‘supply chain processes’ in order to examine possible improvements in the poultry production process along with waste management. The research adopts the positivist paradigm and ‘design science’ methods with the support of system dynamics (SD) and the case study methods. Initially, a mental model is developed followed by the causal loop diagram based on in-depth interviews, focus group discussions and observation techniques. The causal model helps to understand the linkages between the associated variables for each issue. Finally, the causal loop diagram is transformed into a stock and flow (quantitative) model, which is a prerequisite for SD-based simulation modelling. A decision support system (DSS) is then developed to analyse the complex decision-making process along the supply chains.
The findings reveal that integration of the supply chain can bring economic, social and environmental sustainability along with a structured production process. It is also observed that the poultry industry can apply the model outcomes in the real-life practices with minor adjustments. This present research has both theoretical and practical implications. The proposed model’s unique characteristics in mitigating the existing problems are supported by the sustainability and supply chain theories. As for practical implications, the poultry industry in Bangladesh can follow the proposed supply chain structure (as par the research model) and test various policies via simulation prior to its application. Positive outcomes of the simulation study may provide enough confidence to implement the desired changes within the industry and their supply chain networks.
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Sanmugam Annamalah, Pradeep Paraman, Selim Ahmed, Thillai Raja Pertheban, Anbalagan Marimuthu, Kumara Rajah Venkatachalam and Ramayah T.
This study aims to analyse the resilience strategy utilized by small and medium-sized enterprises (SMEs), enabling these businesses to effectively adapt their operations in…
Abstract
Purpose
This study aims to analyse the resilience strategy utilized by small and medium-sized enterprises (SMEs), enabling these businesses to effectively adapt their operations in response to varying conditions by providing them with essential resources. SMEs operate in marketplaces that are both dynamic and frequently tumultuous. These markets provide SMEs with a variety of obstacles, including economic ups and downs, advances in technology, evolving customer tastes and new regulatory requirements. SMEs need to create a strategic strategy to survive and grow in such situations. This strategy ought to help strengthen their resiliency and make it possible for them to make the most of emerging opportunities while simultaneously lowering the dangers.
Design/methodology/approach
The questionnaires adopted and adapted from previous research served as the basis for gathering the data. The manufacturing industry was polled through the use of questionnaires. To test the hypothesis, the data were analysed using Smart PLS. Through the use of closed-ended questions directed to the proprietors, managers or senior executives of SMEs, data were collected from each and every institution in the sample. Following the examination of the data by means of descriptive analysis and the presentation of several scenarios using information relating to SMEs, the findings were presented.
Findings
The ambidextrous strategies that are used by SMEs have a propensity to offer a constructive contribution to SMEs. In this study, it was discovered that ambidexterity, which is defined as the capacity to both seek and capitalise on possibilities, has a significant bearing on the organisational effectiveness of SMEs. The results showed that ambidextrous strategies have a propensity to work as mediators in interactions involving proactive resilience tactics and performance.
Research limitations/implications
The research expands our understanding of how SMEs in the manufacturing sector may improve their performance by concentrating on growing their ambidextrous strategies.
Practical implications
This study provides a plausible explanation of two crucial management mechanisms for enhancing the sustainability of organisational effectiveness. The relationships between ambidextrous capabilities and firm effectiveness are malleable, and this study suggests that nurturing formal and informal relationships may be the key to SMEs' long-term sustainable performance. Improving the knowledge and performance of supply chain systems for SMEs in the manufacturing sector and boosting their competitiveness in domestic and international markets are the practical contributions of this study.
Social implications
Our comprehension of monitoring, cooperation and innovation within social management was deepened as a result of these facts. In addition, the study conducted in the sector uncovered four essential connections that outline how managers should actively work towards lowering social risks, developing new possibilities and increasing business performance. These capacities and links, when taken as a whole, provide the foundation upon which an integrated framework and five research propositions are built.
Originality/value
This research offers a convincing explanation of fundamental management processes for enhancing the sustainability of organisational effectiveness. This research implies that developing formal and informal interactions may be the key to the sustainable performance of SMEs over the long run. The relationships between ambidextrous capabilities, methods and organisational effectiveness are flexible, and this study also suggests that these relationships may be shaped. The practical contributions made by this research include boosting the understanding and performance of supply chain systems for SMEs as well as the competitive power of these businesses in both local and international markets.
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Kevin C. Stagl, Eduardo Salas, Michael A. Rosen, Heather A. Priest, C. Shawn Burke, Gerald F. Goodwin and Joan H. Johnston
Distributed performance arrangements are increasingly used by organizations to structure dyadic and team interactions. Unfortunately, distributed teams are no panacea. This…
Abstract
Distributed performance arrangements are increasingly used by organizations to structure dyadic and team interactions. Unfortunately, distributed teams are no panacea. This chapter reviews some of the advantages and disadvantages associated with the geographical and temporal distribution of team members. An extended discussion of the implications of distributed team performance for individual, team, and organizational decision making is provided, with particular attention paid to selected cultural factors. Best practices and key points are advanced for those stakeholders charged with offsetting the performance decrements in decision making that can result from distribution and culture.
Akhilesh Chandra, Brij M. Lall and Philip H. Siegel
This paper explores the role of neural networks for decision making in dynamic environments which are characterized by risks and uncertainties, and also provides experimental…
Abstract
This paper explores the role of neural networks for decision making in dynamic environments which are characterized by risks and uncertainties, and also provides experimental evidence from a simulated data. Theoretical support is derived from theories of affective balance, and self‐organized criticality. The simulation is conducted for a two‐person‐constant sum game. The findings of the experiment are helpful in extending to managerial decision making which involves varying degrees of uncertainties. Such decisions are affected by forces both internal and external to the company, and making judgments in such a fuzzy future is highly probabilistic. It is suggested, therefore that neural networks are better able to capture the interactive dynamics of variables operating in a managerial decision environment. In sum, the findings indicate that decisions in general and business decisions in particular can greatly benefit from the parallel computational capabilities of neural networks.