International Journal of Management and Decision Making (21 papers in press)
Leveraging Organizational Hierarchies and Networks: Reassessing Strategic Planning and Strategic Doing
by John A. Parnell, J. Douglas Barrett, Edward M. Morrision
Abstract: This paper explores the potential complementarity between conventional strategic planning and non-traditional approaches such as strategic doing. Traditional strategic planning models focus on the challenge of developing a strategy for a single hierarchical organisation operating in a relatively stable environment, but leaders today are confronted with networks and increasing volatility. Strategic planning focuses on a technical, rational, and linear approach to problem solving. In contrast, strategic doing invokes a multifaceted, recursive process of thinking and solving complex problems. It focuses on generating new opportunities from recombining accessible assets, many of which involve knowledge embedded in hidden networks. A flexible approach like strategic doing can augment traditional approaches to strategic planning by focusing on a chronic problem, strategy execution.
Keywords: strategic planning; networks; practice; strategic doing.
Value-Based Smart Retail Measurement Model
by Riham Adel
Abstract: In response to literature calls to expand the body of knowledge about smart retail, this study aims to develop a value-based smart retail measurement model. The model explicitly aligns with the cognitive-affective-behaviour paradigm that is extensively used to define the concept of perceived value. The model is developed upon the grounded theory of technology acceptance that is integrated with hedonic value, technology readiness, perceived risks, perceived trust, and smart experience as perceived value factors. The model was tested in Egypt within a retailer specialising in selling furnishing solutions to expand the literature with new insights from a developing country. The goodness of fit, reliability, and validity of the model was confirmed. The direct, indirect, and total effects of these factors are examined using AMOS structural equation modelling (SEM). The findings indicate that Egyptian customers acceptance to adopt smart retail technologies will be influenced by the chain of factorial models effects.
Keywords: smart retail; technology readiness and acceptance; hedonic value; perceived risks; perceived trust; smart experience.
Human-behavioral micro-foundations of dynamic capabilities: A systematic review of the last two decades of research
by Fatemeh Gheitarani, Khaled Nawaser, Haniruzila Hanifah, Ali Vafaei-Zadeh
Abstract: Given the importance of dynamic capabilities in gaining competitive advantage and improving the organisational performance, recent studies have focused on its human-behavioural micro-foundations as a basis for improving dynamic capabilities at organisations macro level. This article reviewed the literature in the field of behavioural and human resource foundations of dynamic capabilities using a systematic literature review method and evaluated the quality of articles with CASP method. After a systematic review of 41 final articles, 15 themes were identified for the behavioural foundations of dynamic capabilities. The sensing dimension includes personal and interpersonal indicators, in seizing dimension, indicators of communication, conflict management, organisational climate, etc. The reconfiguring dimension involved the indicators of knowledge management, leadership, talent management, capacity building, and diversity of employees.
Keywords: dynamic capabilities; micro foundations; behavioural dimension; human dimension; systematic review.
Use of Multi-criteria Methods to Support Decision-Making in Drug Management for Leprosy Patients
by Igor Falcao, Daniel Da S. Souza, Diego L. Cardoso, Fernando Augusto Ribeiro Costa, Marcos C. Da R. Seruffo, Claudio G. Salgado, Moisés B. Da Silva, Josafá G. Barreto, Patricia F. Da Costa
Abstract: Leprosy remains a major public health problem in the world. Despite the availability of treatment, the disease continues to be neglected. Treatment is one of the main alternatives, however, the scarcity of medication and its poor distribution are important factors that have driven the spread of the disease, leading to irreversible and multi-resistant complications. This paper uses a distribution methodology to optimise medication administration, taking into account the most relevant attributes for the epidemiological profile of patients and the deficit in treatment via polychemotherapy. Multi-criteria decision methods were used applied in a database with information from patients in the State of Par
Keywords: leprosy; epidemiological; multi-criteria decision methods; MCDM; diagnosis.
Decentralised or centralised management of data and products: influence on revenue-generating processes
by Sujit Wings, Janne Härkönen
Abstract: Products, services, product data, information systems, and business processes are very closely related issues. The products must be in control, and the product data and product portfolio suit the business to ensure process performance. Customers demanding complex solutions necessitate considerations over decentralised or centralised management of data and products. Decisions on product and data management affect vital processes. Thematic analysis is applied to company product data management (PDM) and product portfolio management (PPM) practices to reflect the centralisation vs. decentralisation perspective and identify preconditions for centralisation. It appears that the volume of standard products, pressures to comply with regulations and standards, and product and process maturity influence whether a company benefits more from centralisation or decentralisation. Value is provided by revealing challenges of decentralised PDM and PPM, and by clarifying preconditions for centralisation. The findings indicate the order of priority for centralisation in terms of aligning processes and harmonising data.
Keywords: decentralised data management; centralised data management; decentralised product management; centralised product management; product data management; PDM; revenue-generating processes.
Modeling the causal relationships of the readiness factors for Industrial Internet of Things adoption using DEMATEL based rough set theory
by Detcharat Sumrit
Abstract: Adopting an emerging technology such as IIoT is a complex process with a high risks and failure rate. Therefore, a profound understanding of readiness factors and interrelationships prior to adoption is essential for manufactures. This paper proposes a model framework of the causal relationships of the readiness factors for IIoT adoption using decision-making trial and evaluation laboratory (DEMATEL) based rough set theory (RST). DEMATEL is to identify the interrelationships among readiness factors, while RST is to capture the ambiguity and subjective information in the decision-making process. The proposed framework is illustrated by taking a case of Thai agro-food processing industry. The finding suggests that Thai agro-food processing industry need to focus on three main readiness factors as top management support and commitment, digital business model and strategic technology roadmap for digitalisation, respectively. This study also provides a deep insight to adopt IIoT for better understanding of the essential readiness factors.
Keywords: DEMATEL; rough set theory; RST; industrial internet of things; IIoT; multi-criteria decision-making; MCDM.
Improvement in Quality of BI Decision-Making Process through Data Quality, Information Quality, BI Management and Motivation
by Ankur Saini, Anupama Rajesh, Richa Misra
Abstract: Organisations use complex information systems called business intelligence (BI) systems with the objective of strengthening their decision-making process, but there is a dearth of research available on how to improve the quality of the BI decision-making process. This research seeks to fill the gap that exists by investigating the critical factors. The study followed a two-staged approach: firstly, to study the concept of BI. Next, to develop an understanding of factors that affect or influence the BI output and evaluate the effects of business environmental factors on the outcome of the BI system along with their relative importance to obtaining effective decision making. The empirical findings of the research substantiate the overall constructs and factors relationship. More significantly, this study contributes to both the field of academia for research purposes and to the industry for application purposes.
Keywords: business intelligence; information quality; DSS; decision support system; decision-making process; data quality; management; motivation..
Inventory Pricing Strategy Considering Product Returns for Deteriorating Items with Multi-Variate Dependent Demand
by Jitendra Singh, K.M. Kamna, Mahendra Singh
Abstract: This study discusses an optimal inventory model for rapidly decaying products considering product returns. In this study, the demand is influenced by selling price, timing, and advertisements per planning period. Product returns is regarded as a function of the products demand and price. The shortages are acceptable and partially backlogged in the proposed model. This inventory model aims to develop a profit function to obtain the optimal selling price of the product and replenishment schedule with maximum profit. Moreover, a novel algorithm is proposed to determine the optimal results. An optimal replenishment schedule exists for a given selling price. Finally, the optimality of the function is proved mathematically and graphically to substantiate the appropriateness of the solution algorithm and method. In addition, a numerical illustration is used to elaborate the solution procedure, followed by a meticulous analysis of various parameters.
Keywords: inventory optimisation; deterioration; shortages; product returns; dependent demand.
Predictive Analytics for Efficient Decision Making in Personnel Selection
by Joonghak Lee, Steven Kim, Youngsang Kim, Sungjun Kim
Abstract: This study investigates the predictive modelling in personnel selection. In particular, we focus on the prediction of interview performance using combinations of variables which assess personality and cognitive ability. Based on a dataset of 1,989 subjects, we generate 1,024 possible models with ten predictors including six personalities and four cognitive factors and apply the mixed-effect logistic regression to account for the random effect. The predictive performance of each model is evaluated by the area under receiver operating characteristic curve. The results show that the model with a combination of ambition and agreeableness as well as verbal and reasoning can predict the interview performance at 68% accuracy and this predictive power is not substantially different from the predictive performance of more complicated models. Our results suggest that personnel selection with fewer factors can be as efficient as all factors in the prediction. This study contributes to the selection literature by emphasising and justifying efficient decision making with predictive models, and it demonstrates that the personnel selection procedure can be simplified in an organisation and can save the organisation resources.
Keywords: predictive modelling; personnel selection; personality; cognitive ability; interview performance.
Corporate Social Responsibility, Competitiveness and Sustainability in Emerging Economies: The Case of Ukraine
by Pavlo Brin, Rosa Lombardi, Mohamad Nassif Nehme, Riccardo Tiscini
Abstract: During the last decades, corporate social responsibility (CSR) has evolved after it passed critical academic and practical milestones. CSR is contributing to the corporate sustainability strategy and competitiveness. In this scenario, we aim to assess companies operating in different industries in Ukraine applying CSR approaches to verify changes in their competitiveness using key numerical indicators to ensure corporate sustainability. Adopting a qualitative methodology, we investigate a relative dimension changes assessment emphasising a set of key indicators. We conclude that the CSR approach can enhance the company competitiveness and sustainability at a faster rate compared with not adopting any CSR approach. Our results are directed to academics and practical communities.
Keywords: corporate social responsibility; sustainability; sustainable strategy; stakeholders; competitiveness; environment.
Managing damaged asset: A case study optimization between refurbishing and divestiture using capital budgeting in a logistics business in Indonesia
by Effnu Subiyanto, FItri Ismiyanti, Annisa Farahmei Effnandya
Abstract: study aims to help practitioners and industries measure their asset optimisation in more detail and consider taking the step of refurbishing or divestiture as an option in operational management. The developed methodology is based on capital budgeting and combines it with several financial ratio considerations. This study found that capital budgeting and several financial ratios are proven tools that help industries make the best decisions between options. Based on econometric calculations, the divestiture option is more advisable than the refurbish scheme. First, this study is scientifically met with the aim of asset optimisation in the logistics sector, but it can be adapted for other types of businesses with adequate adjustments. These findings are practically applicable to help industries make faster decisions. This study contributes to the development of knowledge on global logistics businesses.
Keywords: divestiture; corporate strategy; operation management; logistics; refurbish; capital budgeting; financial ratio; Indonesia.
How content factors for hybrid strategy affect the strategic performance of international oil companies
by Alhamzah Alnoor, Khaw Khai Wah
Abstract: Empirical evidence has shown that the hybrid strategy outperforms Porters strategies by achieving superior performance. Therefore, differentiation strategy and cost leadership contribute to achieving great competitive and strategic performance. To this end, this study aims to test and achieve the impact of the competitive strategy on the strategic performance of international oil companies. 483 questionnaires were distributed to several managers in the 11 oil companies in Iraq. Using structural equation modelling, it was concluded that the combination of differentiation strategy and cost leadership strategy increases the achievement of strategic advantages at the level of cost, quality, delivery time, flexibility, and innovation.
Keywords: hybrid strategy; strategic performance; oil industry; cost leadership; differentiation strategy.
An multi-criteria based analytical study of the impact of Covid-19 on ELSS fund performance
by Sanjib Biswas, Dragan Pamu?ar, Jayanta Nath Mukhopadhyaya
Abstract: This paper examines the impact of COVID-19 on the performance of select equity linked savings scheme (ELSS) funds in India for two different time periods such June 2019 (before COVID-19) and June 2021 (after COVID-19) using risk, return and market perception based criteria. We use a hybrid multi-criteria decision-making (MCDM) framework of level based weight assessment (LBWA) and measurement of alternatives and ranking according to compromise solution (MARCOS). We test the group harmony using Kendalls concordance coefficient. We find that result is validated and shows stability in the sensitivity analysis. To the best of our knowledge, the present work is a first to its kind that assesses the impact of COVID-19 on asset management companies (AMC) of ELSS funds from multiple perspectives. We observe that AMCs are unable to maintain their performance and ranks which suggests a highly competitive and fragmented nature of Indias growing ELSS funds.
Keywords: mutual funds; ELSS schemes; COVID-19; MARCOS; level-based weight assessment; LBWA; Kendalls concordance coefficient; Wilcoxon matched pair t-test.
Managing Foreign Language Classroom Anxiety among French undergraduate students: pedagogical implications and perspectives
by Arber Shtembari, Marigel Garcia-Lozano, Peter J. M. FORTE
Abstract: This study focuses on the effects of explicit teaching on the language anxiety of students in the School of Modern Languages at the University of Poitiers during an English oral expression course. It presents the results of action research hypothesising a link between applied pedagogical methods and the reduction of this type of anxiety. Based on the work of Horwitz et al. (1986) around clarifying language learning anxiety reviewed by Zhao (2007), the research was carried out with first-year students, using mixed methods (a questionnaire, classroom observations, semi-structured interviews). This enabled us to measure the levels of language anxiety the students experienced in class at two different points (n = 20 for T1; n = 23 for T2). The questionnaire asks students about four factors (F1 apprehension of communication in English; F2 test anxiety; F3 fear of negative evaluation; F4 +F5 English classroom anxiety).
Keywords: foreign language classroom anxiety scale; action research; pedagogy; higher education.
Strategy Formation as Narrative-Driven Performative Praxis
by Pavel Prokushenkov
Abstract: This paper seeks to research the performative dimension of strategising at the individual level in the context of strategy-as-practice. The study focuses on narrative-driven praxis being formed by practitioners involved in strategic discursive practices. The interconnections within strategy discourse lead to interdiscursivity that influences strategic decision-making. Revealing interdiscursivity is crucial as it is the key to understanding the praxis of strategy formation. This is action research that involved 16 practitioners from 13 countries around the world. Critical discourse analysis is applied to data collected through purposive sampling during online coaching sessions. The author acted as an executive coach. The theoretical and practical implications of this paper are presented as a non-normative model that describes strategy formation as narrative-driven performative praxis. The constructed model can be used as a theoretical basis for individual coaching sessions on strategy formation.
Keywords: action research; coaching; critical discourse analysis; CDA; narratives; decision-making; performativity; strategy formation.
Employee stress management and well-being while working from home during the pandemic: The role of involvement HRM practices, self-efficacy and hope
by Athar Hameed, Muddasar Ghani Khwaja
Abstract: Researchers have highlighted that as work from home (WFH) mechanisms have progressed during pandemic COVID-19, there is a likelihood that occupational stress levels may arise considerably. Mental health of the employees may be deteriorated due to work related stress. Hence, it remains eminent to explore during pandemic, how involvement human resource management would affect on stress levels of the employees. Perceived work-based self-efficacy, employee stress management and hope were estimated as mediating constructs among involvement HRM practices and mental well-being of employees. In his regard, it was endeavoured to collect primary data through structured questionnaire from the sales staff of telecommunication sector of Pakistan using non-probability convenience sampling. Data estimation was conducted using covariance-based structural equation modelling (CB-SEM) on AMOS 25.0. The results affirmed theoretically established associations.
Keywords: COVID-19; mental well-being; MWB; hope; occupational stress; employee; involvement human resource management; self-efficacy.
The utility, or otherwise, of models found in international business research
by M. John Foster
Abstract: It is argued that an adherence to the use of 'hard', applied mathematical models is a major factor in achieving publication of papers on international business topics in top rated journals. However one may readily find examples of papers which meet this test but which are less than reliable in terms of what their models tell us about the real world of international business. As such, these sorts of papers and models fail a key test of accessibility and utility for the practitioner. On the other hand there are papers with models which are apparently less theoretically complex but which fully meet the accessibility and utility criterion. Such papers are quite likely to appear in 'lower ranked' journals. The argument is illustrated by examining 20 papers as evidence cases. This critique should assist the improvement of research methods used in international business and management research.
Keywords: models; applied mathematics; utility; accessibility; international business; IB; practitioners.
A multiplier form of slacks-based measure model in stochastic data envelopment analysis
by Mohammad Hossein Tavassoli, Ali Asghar Foroughi
Abstract: Data envelopment analysis (DEA) is a mathematical approach based on linear programming, which evaluates the rational efficiency of decision-making units (DMUs) with multiple inputs and outputs. In conventional DEA, the data values are considered to be deterministic. However, the data might be non-deterministic in nature, and DMUs evaluation within DEA may be sensitive to imprecise data. An approach to deal with imprecise data is considering stochastic data within DEA. In this paper, chance constrained programming (CCP) concept is applied to develop slacks-based measure (SBM) multiplier model within stochastic DEA. The deterministic equivalent of this stochastic model is transformed into a nonlinear and then to a quadratic program. The objective function value and also the weighted output-input ratio, determined by using the optimal solution of the developed model, is used to evaluate DMUs. Two real data of the Chinese textile industry and Iranian provincial gas companies are used to assess the performance of the developed approach.
Keywords: data envelopment analysis; DEA; slacks-based measure; SBM; stochastic DEA; chance constrained programming; CCP; multiplier form.
A step-wise weight assessment ratio analysis of barriers to the use of biomass in the district heating system
by Ivana Veličkovska
Abstract: The use of biomass as a form of renewable energy source in order to provide district heating is a very important issue. This paper analyses the barriers of using biomass for district heating in the city Bor located in Eastern Serbia. The subject of this paper is of a complex nature and requires the use of a multi-criteria decision-making method. The aim is to provide a comprehensive analysis of the internal factors in a heating company, external factors that influence the introduction of biomass, and define the most important challenges in the use of renewable energy sources. Based on the reviewed literature and interviews with the representatives of the heating company, five categories of barriers and 22 sub-categories are identified. A step-wise weight assessment ratio analysis (SWARA) multi-criteria decision-making method is used to prioritise the barriers. According to the results of the prioritisation, the most important barrier category of switching from the use of coal to the use of biomass is technical barrier, followed by economic category of barriers.
Keywords: renewable energy; district heating; biomass; MCDM; SWARA.
Performance of hybrid exponentially weighted moving average control chart in the presence of measurement errors
by Seyed Ali Modarresi, Mohammad Reza Maleki
Abstract: The inability of a measurement system to accurately measure the characteristics that affect the performance of control charts in detecting process disturbances, is being highlighted. This paper studies the impact of gauge inaccuracy on sensitivity of the hybrid exponentially weighted moving average (HEWMA) chart for Phase II monitoring of the process mean. Multiple measurements approach is also utilised to reduce the undesired impact of measurement errors on detection capability of the HEWMA chart. Simulation studies are conducted to evaluate the detecting performance of HEWMA chart in terms of average run length (ARL), standard deviation of run length (SDRL) and median run length (MRL) metrics. The results confirm the negative impact of imprecise measurements on sensitivity of HEWMA chart. The results also show that taking multiple measurements on each item enhances the detecting performance of HEWMA chart. Finally, real industrial data is utilised to illustrate how gauge imprecision affects the HEWMA chart in identifying process shifts.
Keywords: statistical process monitoring; HEWMA chart; measurement errors; multiple measurements; run length.
Impact of legal protection and board characteristics on CEO compensation
by Hani El-Chaarani, Paola Paoloni, Zouhour El-Abiad
Abstract: This study explores the impact of legal protection level and board characteristics on the structure and the pay-performance sensitivity of CEO compensation. To reach the declared goals, this paper is supported by Mann-Whitney test. Data from 12 European countries for the 2016-2018 period reveals a significant impact of the legal protection level, CEO duality, board size, board independence and the presence of efficient compensation committee have a significant impact on the structure of CEO compensation but not on the pay-performance sensitivity of CEO compensation. In addition, the results show that the presence of women on board of directors has a positive impact on CEO's compensation. Present study contributes to literature in the fields of gender study and corporate governance of the firms. Also, present research has several managerial implications, highlighting the impact of legal protection and board characteristics on CEO compensation.
Keywords: legal protection; CEO's compensation; compensation structure; pay-performance sensitivity; board of directors' characteristics.