Forthcoming and Online First Articles

International Journal of Management and Decision Making

International Journal of Management and Decision Making (IJMDM)

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International Journal of Management and Decision Making (25 papers in press)

Regular Issues

  • Value-Based Smart Retail Measurement Model   Order a copy of this article
    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 model’s effects.
    Keywords: smart retail; technology readiness and acceptance; hedonic value; perceived risks; perceived trust; smart experience.
    DOI: 10.1504/IJMDM.2022.10043962
  • Human-behavioral micro-foundations of dynamic capabilities: A systematic review of the last two decades of research   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2022.10044203
  • Use of Multi-criteria Methods to Support Decision-Making in Drug Management for Leprosy Patients   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10045486
  • Decentralised or centralised management of data and products: influence on revenue-generating processes   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10045647
  • Modeling the causal relationships of the readiness factors for Industrial Internet of Things adoption using DEMATEL based rough set theory   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10046258
  • Predictive Analytics for Efficient Decision Making in Personnel Selection   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10046535
  • Managing damaged asset: A case study optimization between refurbishing and divestiture using capital budgeting in a logistics business in Indonesia   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10047147
  • How content factors for hybrid strategy affect the strategic performance of international oil companies   Order a copy of this article
    by Alhamzah Alnoor, Khaw Khai Wah 
    Abstract: Empirical evidence has shown that the hybrid strategy outperforms Porter’s 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.
    DOI: 10.1504/IJMDM.2023.10048135
  • Managing Foreign Language Classroom Anxiety among French undergraduate students: pedagogical implications and perspectives   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10048439
  • Strategy Formation as Narrative-Driven Performative Praxis   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10048440
  • Employee stress management and well-being while working from home during the pandemic: The role of involvement HRM practices, self-efficacy and hope   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2023.10048441
  • Examining work from home practices during the COVID-19 pandemic in Singapore: Predictors of motivation and productivity   Order a copy of this article
    by Kavitha Kumara Parumal, Amy Wong 
    Abstract: The importance of employee productivity is further heightened during the COVID-19 pandemic period, as organisations started implementing a default work from home policy in view of several governments’ mandatory and guidelines for safe distancing to prevent the spread of the coronavirus. To attain business success, it is crucial for employees to stay motivated in their job as they work remotely. This study examines employee perceptions of job autonomy, training opportunities, transformational leadership, job flexibility, and their effects on intrinsic motivation and employee productivity during the COVID-19 pandemic. Data was collected from 134 working adults via an online survey. The findings show that the best predictor of both intrinsic motivation and employee productivity is job autonomy. The findings provide valuable insights for the effective management of human capital during the pandemic and post-pandemic recovery periods.
    Keywords: job autonomy; training opportunities; transformational leadership; job flexibility; intrinsic motivation; job productivity; work from home; COVID-19 pandemic; Singapore.
    DOI: 10.1504/IJMDM.2023.10049484
  • A comprehensive strategic approach for supplier management: selection, homogeneous clustering, and negotiation   Order a copy of this article
    by Ayeley Philippe TCHANGANI 
    Abstract: There is a popular saying that you should not put all your eggs in one basket. We believe that to some extent this adage can be applied to a manufacturer of goods vis- à -vis its suppliers in the sense that it is necessary to diversify the sources of origin of its raw materials or semi-finished products. To select its potential suppliers, the company sets its objectives first and then determines the criteria that must be used to evaluate any potential supplier. In this paper, we assume that the objectives (generally economic, social and environmental objectives), evaluation criteria and a list of suppliers are established by the company, and our goal acting as an analyst is to propose an evaluation framework for building a portfolio of supplier companies and/or clustering them into homogeneous categories for their appropriate treatment. To do this, we propose to apply a multi-criteria analysis method called bipolar analysis.
    Keywords: suppliers selection; suppliers homogeneous clustering; bipolar analysis; BOCR analysis; synergistic aggregation.
    DOI: 10.1504/IJMDM.2023.10049522
  • Designing the expert system for industrial energy management in Tanzania   Order a copy of this article
    by Adam Mwangaila, Ismail W. R. Taifa, Victoria Mahabi 
    Abstract: This study designed an expert system (ES) to assist energy management (EM) in manufacturing industries. The EM system optimises energy to maximise profits. One of the best approaches to managing energy is letting every individual in the industry be responsible. Lack of knowledge by most workers challenges this, and it is expensive to train every staff who operates in silo form. This study thus designed an ES that assists managers in manufacturing industries in performing EM. The system’s target is to overcome the existing knowledge barriers and lack of expertise in EM in industries. The designed system is web-based software and acts as an expert in EM using knowledgebase and artificial intelligence as an inference engine to mimic human behaviour of reasoning and decision making. The ES would thus ensure the availability of EM expertise in industries and the process of managing energy to be performed by qualified industrial workers.
    Keywords: expert system; energy management; machine learning model; artificial intelligence; knowledgebase development; industrial energy management; inference engine development; Tanzania.
    DOI: 10.1504/IJMDM.2023.10049731
  • Optimization of Green Reverse Supply Chain Network: A Case Study in the Dairy Industry   Order a copy of this article
    by Zeinab Zarrat Dakhely Parast, Soroush Avakh Darestani, Hassan Haleh 
    Abstract: In addition to reducing chain costs, it is possible to meet the chain greening goals by considering both forward and reverse flows in designing supply chain network. Utilising strategies such as vehicles routing accompanied by simultaneous pickup and delivery, hub location, and inventory management will also help reduce costs and make the chain greener. The importance of developing the green reverse supply chain networks and applying these strategies has increased by emerging the perishable product chain. In this regard, the present paper aims to develop a green reverse supply chain network for the distribution of dairy products including yogurt drink with the possibility of simultaneous pickup and delivery under uncertainty. In the current model, the minimisation of total chain costs and lost demand is simultaneously considered and a fuzzy solution method is provided to solve the bi-objective model.
    Keywords: green reverse network; location-inventory-routing problem; mathematical programming model; fuzzy solution approach; dairy industry.
    DOI: 10.1504/IJMDM.2023.10050304
  • Management applications and methodology developments of DEA - An overview of literature reviews   Order a copy of this article
    by Gyöngyi Vörösmarty, Imre Dobos 
    Abstract: Data envelopment analysis (DEA) is a methodology that is widely used in business to measure efficiency and performance. The purpose of this literature review is to provide an overview of its areas of use and the most important methodological enhancements. The extensive literature on DEA will be reviewed with the help of previously published literature reviews. The main applications of DEA are identified as healthcare, banking and insurance, higher education and the human sphere, transportation and supply chain management, sustainability, and energy policy. The reviews mainly address service applications for benchmarking efficiency - manufacturing was not addressed. The DEA-related methodological developments were ranking, managing data status, weight and input/output selection, and network and dynamic extensions. The management literature makes much use of the DEA method for decision support and performance measurement.
    Keywords: data envelopment analysis; DEA; literature review; management application.
    DOI: 10.1504/IJMDM.2023.10050363
  • A decision-support framework for evaluating supplier performance in trial production stage of new car model development: A hybrid multi-criteria decision making approach.   Order a copy of this article
    by Detcharat Sumrit, Kamphon Pingsusean 
    Abstract: This study proposes a decision support framework using a hybrid multi-criteria decision making (MCDM) approach for evaluating supplier performance in trial production stage of new car model development. First, 18 evaluation criteria are identified through rigorous literature review and confirmed by two groups of industrial experts. Second, consistent fuzzy preference relations (CFPRs) and fuzzy-based criteria importance through inter-criteria correlation (fuzzy CRITIC) are integrated to determine the subjective weights and objective weights of evaluation criteria. Next, a fuzzy-based Vlse Kriterijumska Optimizacija I Kompromisno Resenje (fuzzy VIKOR) approach is employed to rank the performance of suppliers. Thereafter, the sensitivity analysis is conducted to verify the stability and robustness of the proposed decision making framework. Finally, the comparative study with other MCDM approaches. One of the largest Japanese car manufacturing in Thailand is used as a case study to demonstrate the applicability of the proposed framework.
    Keywords: multi-criteria decision making; MCDM; CRITIC; consistent fuzzy preference relation; CFPR; VIKOR; supplier performance.
    DOI: 10.1504/IJMDM.2023.10050404
  • Rational Strategic Decision-making during Crises: A Process Approach   Order a copy of this article
    by Marco I. Bonelli, Jiahao Liu 
    Abstract: As currently exemplified by the COVID-19 situation, there is a need to conduct strategic decision-making research through a process approach for crisis where threats, uncertainties, instabilities, pressures and virous negative environmental factors present or coming. The purpose of this research is to examine the presence of rational strategic decision-making processes and relevant factors involved in a crisis context from empirical managerial practice. This research is based on seven multi-case study interviews of both top and middle level managers from multiple industries. Empirical evidence indicates the predominance of a rational strategic decision-making process with intuitive elements incorporated in within a situation of crisis. A rational strategic decision-making process with intuitive elements embedded in is derived and structured from the data collected. This paper further presents many influential factors in the processes that are either already known (e.g., information, uncertainty, heterogeneity, dynamism) or newly discovered/named (e.g., regulatory requirement, sustainability and heteroturbulence).
    Keywords: crisis; strategic decision-making; SDM; strategic decision-making process; SDMP; rational strategic decision-making process.
    DOI: 10.1504/IJMDM.2023.10050574
  • Fostering the Value of Diversity in Organizations During the Pandemic Period   Order a copy of this article
    by Terry L. Howard, Evan A. Peterson, Gregory W. Ulferts 
    Abstract: Diversity brings significant value to today’s business organisations. One of the primary objectives for many business organisations, therefore, is to focus more closely on the issues involved with these changing organisational concerns. Workplace diversity, alongside generating value through resonance with a multicultural global marketplace and associations to innovation, is expected to grow further in status over the next ten years considering multiple demographic factors. Yet, the developments surrounding the COVID-19 pandemic continue to hinder the pursuit of these positive goals. The direct and indirect effects of the COVID-19 pandemic stand to affect workforce diversity and inclusion efforts in significant ways. Research findings have highlight significant levels of health, economic, and racial inequalities among individuals affected by COVID-19 as a potential consequence of poverty, access to care, and roles as essential workers. The present research study will provide an exploration of how the global pandemic has impacted diversity in the work environment within the past 18 months in light of decades of workplace diversity gains achieved. This vital area of discussion is set into a historical timeframe that will necessarily address how the recent global issues influence the direction of diversity efforts.
    Keywords: diversity value; diversity; human resources; COVID-19 pandemic.
    DOI: 10.1504/IJMDM.2024.10050917
  • A hierarchical structure model for blockchain technology adoption   Order a copy of this article
    by Jiayan Zheng, You Ouyang, Lixu Li, Fei Ye 
    Abstract: Although blockchain technology (BT), with the characteristics of decentralisation, autonomy, and anonymity, shows significant promise in increasing operational efficiency and transparency, the diffusion of BT remains slow. To fill this dilemma, we investigate the hierarchical structure among various determinants of BT adoption based on the technology-organisation-environment (TOE) model and the diffusion of innovation theory (DOI). We employ an integrated approach, sequentially including the decision-making trial and evaluation laboratory (DEMATEL) technique, the maximum mean de-entropy (MMDE) technique, and the interpretive structural modelling (ISM) approach. The empirical results from 17 BT practitioners and scholars reveal that complexity, compatibility, competitive pressure, and government support are four basic factors to constitute a hierarchical structure. In contrast, the relative advantage is the only factor in the second layer, following by organisational readiness and top management support in the first layer. We contribute to BT adoption literature by presenting a new hierarchical structure of different determinants.
    Keywords: blockchain; technology-organisation-environment model; diffusion of innovation theory; interpretive structural modelling; ISM.
    DOI: 10.1504/IJMDM.2024.10051017
  • A multi-criteria-based analytical study of the impact of COVID-19 on ELSS fund performance   Order a copy of this article
    by Sanjib Biswas, Dragan Pamucar, 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 namely 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 Kendall's concordance coefficient. We find that the result is validated and shows stability in the sensitivity analysis. To the best of our knowledge, the present work is the first of 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 India's growing ELSS funds.
    Keywords: mutual funds; ELSS schemes; COVID-19; MARCOS; level-based weight assessment; LBWA; Kendall's concordance coefficient; Wilcoxon matched pair t-test.
    DOI: 10.1504/IJMDM.2022.10048438
  • Corporate social responsibility, competitiveness and sustainability in emerging economies: the case of Ukraine   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2022.10046837
  • Inventory pricing strategy considering product returns for deteriorating items with multi-variate dependent demand   Order a copy of this article
    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 product's 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.
    DOI: 10.1504/IJMDM.2022.10046534
  • Leveraging organisational hierarchies and networks: reassessing strategic planning and strategic doing   Order a copy of this article
    by John A. Parnell, J. Douglas Barrett, Edward M. Morrison 
    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.
    DOI: 10.1504/IJMDM.2022.10043406
  • Improvement in quality of BI decision-making process through data quality, information quality, BI management and motivation   Order a copy of this article
    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.
    DOI: 10.1504/IJMDM.2022.10046533