Proposing an improved economic value model for human resource valuation

2018 ◽  
Vol 67 (9) ◽  
pp. 2108-2125 ◽  
Author(s):  
Sasan Ghasemi ◽  
Arash Shahin ◽  
Ali Safari

Purpose The purpose of this paper is to propose an improved economic value model for human resource valuation. For this purpose, the probability of promoting people to a higher position and the satisfaction coefficient of employees and customers have been computed by competency and Kano models. Design/methodology/approach In order to calculate the probability of promoting people to a higher position, competency model and questionnaire have been used. The satisfaction coefficient of employees and customers has been calculated as a factor influencing the survival of an individual in the organization by using the Kano model. For this purpose, two questionnaires have been designed; one was completed by the employees and the other by the customers. The proposed model has been examined in a consulting company in Iran. Findings The human resource value of the company under study has been estimated over 29bn rials (Iranian currency). The obtained results indicate that the proposed approach as an integrative monetary and nonmonetary measure can remove the limitations of the economic value model. Practical implications The proposed model helps organizations in managing their human capitals more effectively. Originality/value In this study, the Kano and competency models have been integrated with one of the common models of human resource valuation, i.e. the economic value model. The proposed integrated model seems more effective compared to the basic model of economic value model. Application of the proposed model within the context of Iran for the first time would constitute as potential for contribution to the knowledge of human resource management in the developing countries.

2014 ◽  
Vol 69 (2) ◽  
pp. 137-157 ◽  
Author(s):  
Shogo Mlozi

Purpose – This article aims to test the relationship between expected attractiveness-satisfaction-loyalty for international adventure tourists visiting Tanzania. The proposed model is based on travel consumer behavior theoretical constructs extracted from the literature. Design/methodology/approach – This article aims to test the relationship between expected attractiveness-satisfaction-loyalty for international adventure tourists visiting Tanzania. The proposed model is based on travel consumer behavior theoretical constructs extracted from the literature. Findings – The findings for overall model differed from the moderating factors of high risk, low risk, first-time visit and repeat visit. Also, the results are interesting when satisfaction is tested as a mediator. Practical implications – Practitioners could consider the fact that repeat visits may change tourists’ perceptions toward destination and may even increase their inclination to take on risks. This may impact innovation of consumer products in tourism. Also, policy makers could benefit on how loyalty programs can be developed to increase performance. Originality/value – The study offers specific strategic recommendations toward different groups of tourists (i.e. first-time, repeat visitors, risk averse, risk seeking) and proposes logic for setting up a loyalty program as a long-term strategy for success.


2017 ◽  
Vol 117 (9) ◽  
pp. 1866-1889 ◽  
Author(s):  
Vahid Shokri Kahi ◽  
Saeed Yousefi ◽  
Hadi Shabanpour ◽  
Reza Farzipoor Saen

Purpose The purpose of this paper is to develop a novel network and dynamic data envelopment analysis (DEA) model for evaluating sustainability of supply chains. In the proposed model, all links can be considered in calculation of efficiency score. Design/methodology/approach A dynamic DEA model to evaluate sustainable supply chains in which networks have series structure is proposed. Nature of free links is defined and subsequently applied in calculating relative efficiency of supply chains. An additive network DEA model is developed to evaluate sustainability of supply chains in several periods. A case study demonstrates applicability of proposed approach. Findings This paper assists managers to identify inefficient supply chains and take proper remedial actions for performance optimization. Besides, overall efficiency scores of supply chains have less fluctuation. By utilizing the proposed model and determining dual-role factors, managers can plan their supply chains properly and more accurately. Research limitations/implications In real world, managers face with big data. Therefore, we need to develop an approach to deal with big data. Practical implications The proposed model offers useful managerial implications along with means for managers to monitor and measure efficiency of their production processes. The proposed model can be applied in real world problems in which decision makers are faced with multi-stage processes such as supply chains, production systems, etc. Originality/value For the first time, the authors present additive model of network-dynamic DEA. For the first time, the authors outline the links in a way that carry-overs of networks are connected in different periods and not in different stages.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sheshadri Chatterjee ◽  
Ranjan Chaudhuri ◽  
Demetris Vrontis ◽  
Evangelia Siachou

PurposeThe purpose of this study is to explore the negative consequences of human resource analytics applications using the privacy calculus approach.Design/methodology/approachBy using the existing literature and privacy calculus theory, a theoretical model has been developed. This model helps to examine the benefits and risks associated with HR analytics applications. The theoretical model was validated using the partial least square structural equation modeling (PLS-SEM) technique with 315 respondents from different organizations.FindingsHR analytics provides multiple benefits to employees and organizations. But employee privacy may be compromised due to unauthorized access to employee data. There are also security concerns about the uncontrolled use of these applications. Tracking employees without their consent increases the risk. The study suggests that appropriate regulation is necessary for using HR analytics.Research limitations/implicationsThis study is based on cross-sectional data from a specific region. A longitudinal study would have provided more comprehensive results. This study considers five predictors, including other boundary conditions that could enhance the model’s explanative power. Also, data from other countries could improve the proposed model.Practical implicationsThe proposed model is useful for HR practitioners and other policymakers in organizations. Appropriate regulations are important for HR analytics applications. The study also highlights various employee privacy and security-related issues emerging from HR analytics applications. The study also discusses the role of leadership support for the appropriate usage of HR analytics.Originality/valueOnly a few research studies have explored the issues of HR analytics and its consequences. The proposed theoretical model is the first to consider the negative consequence of HR analytics through privacy calculus theory. In this perspective, the research is considered to be novel.


2019 ◽  
Vol 2 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Yingjie Yang ◽  
Sifeng Liu ◽  
Naiming Xie

Purpose The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part in data collection, profiling, imputation, analysis and decision making. Design/methodology/approach A comparative study is conducted between the available uncertainty models and the feasibility of grey systems is highlighted. Furthermore, a general framework for the integration of grey systems and grey sets into data analytics is proposed. Findings Grey systems and grey sets are useful not only for small data, but also big data as well. It is complementary to other models and can play a significant role in data analytics. Research limitations/implications The proposed framework brings a radical change in data analytics. It may bring a fundamental change in our way to deal with uncertainties. Practical implications The proposed model has the potential to avoid the mistake from a misleading data imputation. Social implications The proposed model takes the philosophy of grey systems in recognising the limitation of our knowledge which has significant implications in our way to deal with our social life and relations. Originality/value This is the first time that the whole data analytics is considered from the point of view of grey systems.


2014 ◽  
Vol 21 (3) ◽  
pp. 314-328 ◽  
Author(s):  
Majid Azadi ◽  
Reza Farzipoor Saen ◽  
Kamyar Hosseinzadeh Zoroufchi

Purpose – In this paper, the authors extend the goal-directed benchmarking theory proposed by Stewart for benchmarking and selecting suppliers. This extension is in recognition of the fact that benchmarking for suppliers is more than a pure monitoring process and includes a component of future planning. The paper aims to discuss these issues. Design/methodology/approach – In this paper, the proposed model utilizes a goal programming structure to find points on the efficient frontier which are realistically attainable by suppliers in the presence of undesirable outputs, but at the same time achieving a closer method to long-term organizational goals (as distinct from the local performance of individual suppliers). Findings – The contributions of the current paper are as follows: the proposed model considers undesirable outputs in the context of goal-directed benchmarking. The proposed model does not demand weights from the decision maker. The proposed model can be easily computerized, enabling it to serve as a decision making tool to assist decision makers. For the first time, the proposed model is applied for the supplier selection and benchmarking. Originality/value – To the best of knowledge of the authors, there is not any reference that discusses supplier selection problem and benchmarking in the presence of undesirable outputs in the context of goal-directed benchmarking.


2016 ◽  
Vol 21 (2) ◽  
pp. 195-212 ◽  
Author(s):  
Nell C. Huang-Horowitz ◽  
Karen Freberg

Purpose – The purpose of this paper is to propose a conceptual model that can be used to bridge organizational identity and reputation messages. The proposed model may help organizations more-effectively build and maintain both their desired identity as well as reputation. Design/methodology/approach – The qualitative and exploratory procedure was used to develop a model for simultaneously managing and measuring both identity and reputation messages. The process of conceptualizing an exploratory, qualitative value model begins with identifying relevant concepts and measures. A qualitative review of reputation and identity scholarship was examined for recurring themes and concepts. These themes were then used to formulate the identity and reputation functions and value measures. Findings – The proposed conceptual model presents characteristics and attributes that scholars and practitioners may need to consider when managing an organization’s identity and reputation messages online. The paper also presents potential applications of the model. Practical implications – The proposed qualitative value model, if further tested and quantified, has three potential applications: integrating identity and reputation messages across multiple platforms; telling stories reflective of both identity and reputation messages; and determining the value of attribution across contingencies. Originality/value – Considering the interrelated nature of identity and reputation messages, it is necessary to formulate a model delineating how the two may be bridged with one another. By proposing the conceptual model for how organizations may be able to align their identity messages with reputation messages, this paper hopes to establish a more conscious connection between the identity and reputation scholarship.


2019 ◽  
Vol 32 (1) ◽  
pp. 78-91
Author(s):  
Hossein Vaez Shahrestani ◽  
Arash Shahin ◽  
Hadi Teimouri ◽  
Ali Shaemi Barzoki

Purpose The purpose of this paper is twofold: first, to revise the Kano model with a focus on one-dimensional attributes; and second, to use the revised model for categorizing and prioritizing various employee compensation strategies. Design/methodology/approach The Kano evaluation table has been revised and the one-dimensional attribute has been further extended to three categories of OO, OM and OA. In the next step, the literature review-based identified strategies have been categorized and prioritized according to the developed Kano model. Consequently, an employee compensation system has been proposed to a process-based manufacturing company as a case study. Findings Findings indicated that out of the 44 employee compensation strategies, typically 6 were must-be, 13 were one-dimensional, 18 were attractive and 7 were indifferent. Also, the results of the revised Kano model indicated that typically out of the 13 one-dimensional strategies, 7 were one-dimensional tending toward must-be (OM); and 6 were one-dimensional tending toward attractive (OA). Research limitations/implications The case study was limited to one company. The validity of the proposed model can be further studied in a larger population. This study provides managers with a more accurate instrument of decision making in selecting more differentiated employee compensation strategies, which, in turn, might lead to more employee satisfaction. Originality/value Theoretically, this study is different from existing studies, since almost none of the previous studies extended the Kano evaluation table for one-dimensional attributes. Practically, this study is another evidence of the application of the Kano model in the field of human resource management and in particular contributes to the design of employee compensation systems.


2020 ◽  
Vol 10 (2) ◽  
pp. 97-123 ◽  
Author(s):  
Amin Mahmoudi ◽  
Mehdi Abbasi ◽  
Xiaopeng Deng ◽  
Muhammad Ikram ◽  
Salman Yeganeh

PurposeSelecting a suitable contract to outsource construction projects is an ongoing concern for project managers and organizational directors. This study aims to propose a comprehensive model to manage the risks of outsourced construction project contracts.Design/methodology/approachTo employ the proposed model, firstly, the types of contracts and risks in the organization should be identified, then, to prioritize the contracts, the identified risks are considered as criteria. After receiving the experts' opinions, the best–worst method (BWM) integrated with grey relation analysis (GRA) method was used to prioritize the contracts. BWM and GRA are multi-criteria decision-making methods with different approaches and applications. In the current study, BWM has been employed to calculate the weights of criteria because it has better performance than other methods such as the analytic hierarchy process (AHP). After calculating the weights of criteria, the GRA method has been utilized for ranking the alternatives.FindingsAccording to the results obtained from the case study, the cost plus award fee contract is the most suitable alternative for outsourcing construction projects. The proposed methodology can be practically applied through different types of the projects such as construction or “engineering, procurement and construction”.Originality/valueTo the best of our knowledge, this is the first time a conceptual model has been proposed to select an appropriate contract for construction projects. Also, for the first time, the BWM integrated with GRA method has been used to prioritize project contracts based on the potential risks. The proposed model can contribute to project managers for selecting a suitable contract with the least risk in construction projects.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Munir de Sá Mussa ◽  
Renata Gomes Cordeiro ◽  
Henrique Da Hora

Purpose An area of information technology (IT) in organizations is required to manage resources efficiently. For this, IT certifications are adopted by companies and sought by professionals. However, these have many requirements and to identify which are paramount to the performance of their activities and/or are much more important to IT managers is not a trivial task. The purpose of this study is to identify how the processes of the Information Technology Infrastructure Library (ITIL) v3 and Control Objectives for Information and Related Technology (CobiT) 5 certifications are analyzed by IT managers. Regarding the knowledge of professionals about the processes, which are more important, less important or indifferent in the manager’s view. Design/methodology/approach A survey is carried out with IT managers using questions elaborated according to the Kano model in which the processes of the analyzed certifications are related to classify according to the proposed model. Findings Of the 64 analyzed processes, 20 CobiT processes and 13 ITIL processes were classified as must-be requirements. Another 17 CobiT processes and 9 ITIL processes were classified as one-dimensional and 5 ITIL processes are present in more than one relationship with CobiT processes and, depending on the relationship, they were classified as must-be or one-dimensional requirements. Originality/value It is concluded that this study contributes in the discussion of the importance of the ITIL and CobiT implementations and analyzes the relevance of ITIL and CobiT certification processes in the view of IT managers, providing useful information for the professionals in terms of prioritization of the processes expected by the managers.


2019 ◽  
Vol 31 (5) ◽  
pp. 1405-1421
Author(s):  
Weisheng Chiu ◽  
Doyeon Won ◽  
Ho Keat Leng

Purpose The purpose of this paper is to examine the relationship between sport involvement, perceived event prestige and attendance intention of annual sporting events. In addition, it examines the moderating effects of gender and past experience on the proposed model. Design/methodology/approach Data were collected, using an on-site survey, from spectators (n=349) who attended the men’s or women’s basketball tournaments of the 2016 William Jones Cup held in Taiwan. Findings The results showed that perceived event prestige partially mediated the relationship between sport involvement and attendance intention of sporting events. Moreover, the moderating effects of gender and experience were found in the proposed model. Specifically, male spectators’ involvement had a significantly stronger influence on perceived event prestige, and, in turn, their perception of event prestige played a more significant role in influencing attendance intention. Also, sport involvement was more important in predicting attendance intention for experienced spectators whereas the prestige of the event was more important for first-time spectators. Originality/value This study suggests that sport event organizers need to employ different strategies in developing the subsequent editions of the event and retaining fans’ interest in the sport. Specifically, event organizers need to enhance the prestige of the sporting event through effective marketing communication to attract first-time spectators to the event.


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