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It is always of great importance for managers in organizations to evaluate their staff members and create incentive systems, using instruments such as Data Envelopment Analysis (DEA) and DEA-R (DEA models based on ratio analysis). The purpose of this paper is to propose a two-stage network incentives system for commercial banks.

Centralized Resource Allocation (CRA) models make it possible to project all decision-making units (DMUs) onto the efficient frontier by solving a single linear programming model. In this paper, we use our proposed DEA-R-based CRA models to evaluate commercial banks in a two-stage case when the only ratios available are the assets-to-costs and income-to-assets vectors.

Thirteen commercial banks modeled as two-stage networks were evaluated by the models proposed in two different cases of ratio data. Results suggest that the proposed methodology yields more accurate efficiency scores, thus allowing better discrimination among DMUs. Furthermore, evaluating the DMUs when they are structured as two-stage (or even three-stage) networks makes it possible to examine the incentives system in more detail. Therefore, the use of incentive systems by managers would allow a better focus on the priority activities of commercial banks and a faster movement toward the frontier of best practices.

The super-efficiency scores of a number of commercial banks are evaluated based on the CRA model, as a cornerstone criterion for the two-stage evaluation in DEA-R, thus allowing the rank of each commercial bank in terms of the incentives system rather on the performance of the productive process.

This study aims to develop a research model to examine the antecedents of three stages of electronic business (e‐business) diffusion (including e‐business initiation, implementation and assimilation). The research model features knowledge management (KM) capabilities (knowledge acquisition, knowledge storage, knowledge dissemination, and knowledge protection), and partnership attributes (partner interdependence, partner trust, and partner commitment) as prominent antecedents of stage‐based e‐business diffusion.

Data gathered from 398 firms were employed to test the relationships between the research model constructs using a structural equation modeling (SEM) approach.

The results reveal that the factors for KM capabilities and partnership attributes have different impacts on three stages of e‐business diffusion. In particular, knowledge dissemination has a positive effect on all three e‐business diffusion stages, demonstrating its importance in the decision to shape e‐business diffusion. Moreover, the findings show that three partnership attributes are important enablers during the whole e‐business diffusion process.

In the context of e‐business, knowledge dissemination activities occur not only within firms, but also between firms and their business partners. Knowledge dissemination enables employees to develop novel solutions to problems that significantly improve on current practices. Hence, the increasing importance of the field of knowledge dissemination is primarily attributed to promotion of successful e‐business activities and increased level of e‐business implementation.

Theoretically, this study aims to provide a research model that is capable of understanding the determinants of the stage‐based e‐business diffusion. From a managerial perspective, the findings of this study provide valuable guidelines to policy‐makers and practitioners in implementing e‐business and accelerating e‐business diffusion.

The purpose of this paper is to show how stages of growth models have been applied to a number of organizational phenomena in management research. One class of models consists of maturity models for IT outsourcing relationships. There is a need for an improved theoretical foundation for stage models.

Based on a literature review of theory research as well as stage research, a stage of growth theory is proposed in this paper. Also, a procedure for stages of growth modeling is suggested.

A theoretical foundation for stages of growth models enables trust worthier modeling.

Future research modeling organizational phenomena can follow the suggested modeling procedure. This paper can be used in teaching by discussing industrial management phenomena along stages of growth by applying dominant problems and benchmark variables.

In strategy work, this paper helps in providing a framework for assessing current stage as well as determining future strategic direction for an industrial organization.

Theory development in this paper includes four important propositions on which this theory is based.

Three types of industrial buyer-seller relational process models are available: joining theory, stage theory, and state theory. However, historically, these models have developed based on the knowledge and cultural context of the Western world. Several researchers note that national culture may have an impact on international industrial buyer-seller relationships. Including culture in the models is highly important, especially as the business environment is increasingly more global and different countries have different business cultures. The goal of this paper is to define the most suitable industrial buyer-seller relational process models for describing relationships in various contexts. The paper includes a through literature review and a single case study in order to reach this objective. A new state theory model evolved during the research. It consists of two beginning states: searching and starting; four purely middles states: constant/static, decline, growth, and troubled; and a purely end state: termination. The state of dormant/inert is both a middle state and an end state, that is, when the relational actors are not in contact does not mean that the relationship has ended, but instead, for example, new legislation may have been implemented, which requires the actors to evaluate their relationship and its future. A relationship goes through the two beginning states in the order mentioned above, but after that, any state may occur.

This paper aims to present two-stage network models in the presence of stochastic ratio data.

Black-box, free-link and fix-link techniques are used to apply the internal relations of the two-stage network. A deterministic linear programming model is derived from a stochastic two-stage network data envelopment analysis (DEA) model by assuming that some basic stochastic elements are related to the inputs, outputs and intermediate products. The linkages between the overall process and the two subprocesses are proposed. The authors obtain the relation between the efficiency scores obtained from the stochastic two stage network DEA-ratio considering three different strategies involving black box, free-link and fix-link. The authors applied their proposed approach to 11 airlines in Iran.

In most of the scenarios, when alpha in particular takes any value between 0.1 and 0.4, three models from Charnes, Cooper, and Rhodes (1978), free-link and fix-link generate similar efficiency scores for the decision-making units (DMUs), While a relatively higher degree of variations in efficiency scores among the DMUs is generated when the alpha takes the value of 0.5. Comparing the results when the alpha takes the value of 0.1–0.4, the DMUs have the same ranking in terms of their efficiency scores.

The authors innovatively propose a deterministic linear programming model, and to the best of the authors’ knowledge, for the first time, the internal relationships of a two-stage network are analyzed by different techniques. The comparison of the results would be able to provide insights from both the policy perspective as well as the methodological perspective.

Process mining provides a new means to improve processes in a variety of application domains. The purpose of this paper is to abstract a process model and then use the discovered models from process mining to make useful optimization via predictions.

The paper divides the process model into a combination of “pair-adjacent activities” and “pair-adjacent persons” in the event logs. First, two new handover process models based on adjacency matrix are proposed. Second, by adding the stage, frequency, and time for every activity or person into the matrix, another two new handover prediction process models based on stage adjacency matrix are further proposed. Third, compute the conditional probability from every stage to next stage through the frequency. Finally, use real data to analyze and demonstrate the practicality and effectiveness of the proposed handover optimization process.

The process model can be extended with information to predict what will actually happen, how possible to reach the next activity, who will do this activity, and the corresponding probability if there are several people executing the same activity, etc.

The contribution of this paper is to predict what will actually happen, how possible it is to reach the following activities or persons in the next stage, how soon to reach the following activities or persons by calculating all the possible interval time via different traces, who will do this activity, and the corresponding probability if there are several people executing the same activity, etc.

The development of small firms tends to follow certain growth patterns usually referred to as business growth models. This paper reports on the conceptualisation of a “problem‐based phenomenological life cycle model”, which delineates the growth pattern of micro and small manufacturing firms in Cyprus. The empirically validated model offers guidance to small business managers, financiers and advisers as to the challenges and growth complexities accompanying the transitions taking place in small businesses as they develop along their organisational life cycle. Enhanced understanding of the barriers to the development of small business contributes to the better design of policy initiatives that seek to foster the survival, sustainable growth and prosperity of small enterprises.

The purpose of this paper is to suggest that nutritious food intake is a somewhat overlooked yet essential aspect of corporate wellness that has the potential to help provide organizations with a sustainable competitive advantage.

The paper first discusses the resource‐based view, identifying ways in which nutritious food intake across an organization may serve to create rare and inimitable organizational resources leading to a competitive advantage. It then presents a basic overview of the fundamentals of nutritious food intake. It proceeds to review the transtheoretical stages of change model in the context of tailored nutrition interventions in organizations, providing a detailed overview of key individual behavior focused and environmental focused change strategies along with a discussion of types of technical delivery systems.

The paper suggests that an organization may be able to use a tailored stage‐based nutrition intervention as part of a comprehensive wellness program in order to help create a sustainable competitive advantage based on the nutritious food intake of its members.

Future researchers should continue to examine the effectiveness of stage‐based computer tailored nutrition interventions and their delivery systems, particularly in the context of comprehensive corporate wellness plans and the extent to which this serves to create a competitive advantage through lower direct healthcare costs and higher worker productivity.

Organizational leaders should carefully consider the strategies and methodologies presented in this paper when designing and implementing nutrition interventions as part of a broad corporate wellness program.

This paper makes a valuable contribution to the organizational literature by recognizing the potential for the application of the transtheoretical stages of change model from the field of nutrition education within the context of the resource‐based view of organizations.

A successful process of design concept evaluation has positive influence on subsequent processes. This study aims to consider the evaluation information at multiple stages and the interaction among evaluators and improve the credibility of evaluation results.

This paper proposes a multi-stage approach for design concept evaluation based on complex network and bounded confidence. First, a network is constructed according to the evaluation data. Depending on the consensus degree of evaluation opinions, the number of evaluation rounds is determined. Then, bounded confidence rules are applied for the modification of preference information. Last, a planning function is constructed to calculate the weight of each stage and aggregate information at multiple evaluation stages.

The results indicate that the opinions of the evaluators tend to be consistent after multiple stages of interactive adjustment, and the ordering of design concept alternatives tends to be stable with the progress of the evaluation.

Updating preferences according to the bounded confidence rules, only the opinions within the trust threshold are considered. The attribute information of the node itself is inadequately considered.

This method addresses the need for considering the evaluation information at each stage and minimizes the impact of disagreements within the evaluation group on the evaluation results.

The growing interest in e‐government raises the question of stages in e‐government development. A few stage models for e‐government have been proposed. Without a common e‐government stage model, different research in e‐government may be based on different stage models. This presents a difficulty in comparing and understanding different research results. In this research, we synthesize the existing e‐government stage models so that there is a common frame of reference for researchers and practitioners in the area.

This research utilizes a qualitative meta‐synthesis methodology to synthesize different e‐government stage models. The meta‐synthesis follows the steps used in meta‐ethnography.

Five different e‐government stage models were used in this research. We translated the stages within different models into one another and developed a new e‐government stage model. The new e‐government stage model has the following five stages: web presence, interaction, transaction, transformation, and e‐democracy.

The paper contributes to e‐government theory development. The new five‐stage model provides a synthesized conceptual framework for researchers to evaluate and understand e‐government development.

The synthesized e‐government stage model presents a road map for practitioners to follow in their e‐government projects.

The research uses an innovative and new research methodology to synthesize the existing research. It is one of the first research in the information systems area to make use of meta‐synthesis approach to consolidate the existing qualitative research. This paper is also one of the one papers to systematically come up with an e‐government stage model.