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The manner in which people, businesses and governments perform is changing because of the spread of technology. Digitalization of governments can be considered a necessity as we are now entering the era of the Internet-of-Things. The advantages and disadvantages of electronic governments have been examined in several research studies. This study aims to examine the attitudes of decision-makers towards e-government. The research aims are as follows: to determine the problems related with e-government usage, to establish the factors which decrease the usage of e-government services and to propose recommendations for the effective application of e-government practices.

Qualitative research has been used for the study. Participants were chosen by the snowball sampling method, and face-to-face in-depth interviews were conducted with all decision-makers. In-depth interviews are more efficient and enable the acquisition of better qualitative information, in-depth knowledge and statistics, as the distance between the interviewer and interviewee is reduced (Stokes and Bergin, 2006). Questions asked can be categorized under two sections, where the questions in the first section are related to the decision-maker’s management style/managerial proposition, and in the second section, technological questions are asked in terms of the preferred communication method and the decision-makers’ attitudes towards e-government practices.

Decision-makers perceive electronic government to be important, while the level of importance is observed to be different among the decision-makers. Chronic problems exist in many countries, such as nepotism, where the decision-makers have conflicting arguments about e-government and the resulting effect on nepotism. Furthermore, the study also indicates that decision-makers are aware of the importance of mobile government, although they acknowledge that more time is required, as their country is still developing. Electronic voting is also perceived to be important, although the decision-makers believe that security and privacy issues need to be solved before related projects can be initiated.

This research can be a benchmark study for the decision-makers of small island developing states by means of e-government. The impediments preventing the effective application of e-government practices are also discussed in the study. This study will be useful to highlight the triggers and obstacles for e-government development in the context of a developing country. Internet penetration has increased significantly since the 2000s, and therefore, decision-makers need to consider the shift in citizens’ behaviour, such as the high usage of smartphones and the emergence of the Internet-of-Things (Kaya and Bicen, 2016; Kumar et al., 2017).

The extensive normative literature on capital budgeting decision models tends to ignore many factors that influence choice processes. This paper identifies task factors, context factors, and decision maker factors which influence perceived risk in capital budgeting decisions. Central issues explored in the paper are (a) whether some context and decision maker factors can be included in a capital budgeting decision support system's knowledge system, and (b) whether a decision support system can adapt its choice models and interface to different decision situations based on knowledge about task factors, context factors, and decision maker factors.

The purpose of this paper is to better depict the features of individual and group behaviors in sequential decisions under the effect of public belief drift.

In this paper, the authors design a two‐shots game which is closer to decisions condition in the real market by using the method of experimental economics two shots game.

The experimental results show that information cascade occurs more frequently in the second stage and the decision accuracy is decreased. The conclusion may provide experimental evidence for the “Animal Spirits Theory” of Keynes. Additionally, decision‐maker ranking in the middle of the decision sequence systematically deviates from his/her private information in balance state.

As existing information cascade theory of one shot decision fails to describe the belief‐dependent mechanism, the authors design the multi‐shots information cascade experiment; in which every individual decision maker has more than one sequential decision chance on the same event.

The evaluation scores of each criterion and the integration are given by decision makers, respectively. Owing to the heavy time-pressure in real time decision-making, decision makers may have different judgment abilities, which reflects the instability and inconsistent weight of criteria and scores. It will lead to the unreliable results. To rank alternatives more rational, the consistency of decision makers is considered. The paper aims to discuss these issues.

First, the weight estimation model of the criteria is developed to find the dynamic change and the inconsistency of decision makers, which is based on the objects of weight stability and the consistency measured by the distance between scores of each criterion and the integration. Following that, scores of alternatives given by each decision maker are modified according to the requirement of stability and consistency of the decision-making. In addition, the weight of decision makers is deduced based on the self-consistency and group's similarity that measured by grey close relationship. In the last, the score of alternatives can be modified according to the weight of the decision maker and criteria, and then, alternatives can be ranked via the final score.

The self-adaptation evaluation method is suggested in real time decision-making environment.

Its application step and feasibility is showed via a real decision-making problem.

We review previous research on intergenerational conflict, focusing on the practical implications of this research for organizational leaders. We explain how the interaction between the interpersonal and intertemporal dimensions of intergenerational decisions creates the unique psychology of intergenerational decision-making behavior. In addition, we review the boundary conditions that have characterized much of the previous research in this area, and we examine the potential effects of loosening these constraints. Our proposals for future research include examination of the effect of intra-generational decision making on intergenerational beneficence, consideration of the role of third parties and linkage issues, investigation of the effects of intergenerational communications and negotiation when generations can interact, examination of the role of social power in influencing intergenerational interactions, investigation of the interaction between temporal construal and immortality striving, and exploration of the ways in which present decision makers detect and define the intergenerational dilemmas in their social environments.

The development of social networks enhances the interaction between people, which brings new challenges to the research of group decision-making (GDM). This study aims at the problem that the synergy and redundancy due to interaction among decision-makers are ignored in the previous GDM, a trust-enhanced consensus reaching model based on interaction among decision-makers with incomplete preferences is proposed.

Firstly, confidence level is introduced to improve the hesitation phenomenon that should be considered when calculating trust degree; Secondly, a new trust propagation operator is developed to deal with indirect trust relationships; Thirdly, trust degree is transformed into interaction index to quantify the synergy and redundancy in decision-making. Fuzzy capacities of decision-makers are used to replace traditional weights, and the final scores of alternatives are obtained through Choquet integral.

The proposed model using fuzzy capacity can reflect the synergy or redundancy among decision-makers and improve the accuracy of final ranking result and reduce the loss of information.

This study proposes a trust-enhanced consensus reaching model, which develops a new trust propagation operator to ensure the continuous attenuation of trust in propagation process. And the proposed model uses fuzzy capacity to improve the enhancement or attenuation on the scores of alternatives.

This study aims to construct a Weber point-based model to complete the visualization of preference aggregation in group decision-making problem, in which decision-makers are associated with trust relationship.

This study mainly comprises four parts: trust propagation, preference aggregation, opinion adjustment and alternative selection. Firstly, the incomplete trust between decision-makers is completed with trust transfer operators and propagation probability in trust propagation process. Secondly, a preference aggregation model based on Weber point is proposed to aggregate the group preference visually. Thirdly, opinions are adjusted to reach a consensus. Finally, the ranking of alternatives is determined by the correlation coefficient with the group preference as a reference.

The Weber point-based model proposed in this study can minimize the gap in the preference of alternatives between the group and all decision-makers, and realize the visualization of aggregation result. A case of plan selection is introduced to illustrate the feasibility and effectiveness of the proposed model.

By comparing the result with the weighted average-based preference aggregation method, the Weber point-based model proposed in this study can show the result of preference aggregation intuitively and improve group consensus.

With respect to multi-stage group risk decision-making problems in which all the attribute values take the form of grey number, and the weights of stages and decision makers are unknown, the purpose of this paper is to propose a new decision-making method based on grey target and prospect theory.

First, the sequencing and distance between two grey numbers are introduced. Then, a linear operator with the features of the “rewarding good and punishing bad” is presented based on the grey target given by decision maker, and the prospect value function of each attribute based on the zero reference point is defined. Next, weight models of stages and decision makers are suggested, which are based on restriction of stage fluctuation, the maximum differences of alternatives and the maximum entropy theory. Furthermore, the information of alternatives is aggregated by WA operator, the alternatives are selected by their prospect values.

The comprehensive cumulative prospect values are finally aggregated by WA operator, alternatives are selected or not are judged by the sign of the comprehensive prospect theory, if the prospect value of alternative is negative, the corresponding alternative misses the group decision makers’ grey target, on the contrary, if the prospect value of alternative is positive, the corresponding alternative is dropped into the group decision makers’ grey target, the alternative with positive prospect value whose value is the maximum is selected.

Compared with the traditional decision-making methods using expected utility theory which suppose the decision makers are all completely rational, the proposed method is based on irrational which is more in line with the decision maker’s psychology. And this method considers the decision maker’s psychological expectation values about every attribute, different satisfactory grey target about attributes will directly affect decision-making result.

Performance feedback theory (PFT) has informed analyses in numerous national contexts and has been used to explain various business and management activities of firms. Stemming from behavioral theory and grounded in a cognitive perspective, which views organizational actions as being the results of decisions produced by groups of individual decision-makers, PFT research has mostly assumed the universal nature of cognition and decision-making processes. However, PFT also presumes that individual decision-makers bring with them different backgrounds and experiences. Hence, this paper offers propositions on how cultural differences in individualism-collectivism influence the major components of PFT, including the formation and revision of performance goals (aspiration levels), and search behaviors and risk preferences in response to gaps between goals and actual performance. Implications for future research and practice are discussed.

This paper offers theoretical propositions for the above purpose.

This is not an empirical analysis.

By integrating the individualism-collectivism differences framework into the PFT model, the authors answer previous calls to integrate concepts and frameworks from other theories into PFT while considering the role of cultural differences in aspiration-consequence relationships. Additionally, much of PFT research has focused on outcomes, while actual internal processes have remained unobserved. By focusing on how cultural differences influence various PFT processes, this conceptual analysis sheds light on the unobserved bounds of decision-makers' cognitions.

This paper seeks to provide a tool for decision makers to make more informed decisions regarding their outsourcing decisions and selection of the appropriate supplier.

The method uses the Taguchi loss function for the inclusion of intangibles in the evaluation and selection of suppliers. Intangibles are defined as factors that have an impact on the selection of an appropriate supplier but are not easily quantified to be included in the financial evaluation. These intangibles are classified as the benefits and risks of using a supplier to perform the outsourcing function. A decision maker has certain expectations regarding these intangibles and a loss occurs when a supplier's performance does not meet the decision maker's expectations. The Taguchi loss function has been selected as a means of measuring the loss. The decision maker defines the target value and the specification limits for each benefit and risk category. The weighted loss scores are calculated where the weights are the importance ratings assigned to benefit/risk categories by the decision maker. Based on this analysis each supplier will receive a weighted loss score for all the pertinent benefit categories and one weighted loss score for all the risk categories. To achieve a single measure, the aforementioned weighted loss scores are combined to determine a single aggregate loss score for each supplier, which is then used to rank them. The supplier who receives the highest ranking (minimum loss score) will be selected to perform the outsourcing function.

The procedure proposed here can help companies to identify the best supplier to perform an outsourcing function.

The paper presents a phased decision model that begins with economic evaluation and then uses Taguchi functions to measure the impact of intangibles.