Template-Type: ReDIF-Article 1.0 Author-Name: Gultekin Altuntas Author-X-Name-First: Gultekin Author-X-Name-Last: Altuntas Author-Name: Bahadir Fatih Yildirim Author-X-Name-First: Bahadir Fatih Author-X-Name-Last: Yildirim Author-Name: Ebru Demirci Author-X-Name-First: Ebru Author-X-Name-Last: Demirci Title: An intuitionistic fuzzy VIKOR model for student-employee selection in universities Abstract: This study aims to propose an MCDM approach for a real case in a group decision-making environment where intuitionistic fuzzy (IF) VIKOR method with seven criteria developed and evaluated by a group of three scholars has been applied to nine candidates for a part time student employee selection problem in a state university from an emerging country with the highest rate of dropouts in 2019 mainly due to financial burdens associated with the higher education. It reveals that the 'supervisor's advice' is the most important criterion to be employed as a student to work part time while his/her 'competencies' are the second most one. The criteria regarded as the lowest level of importance have been determined as his/her 'family/roommate(s) support' and 'income level'. Based on such criteria, the candidate of A1 is regarded as the most suitable one. Journal: Int. J. of Management and Decision Making Pages: 349-375 Issue: 4 Volume: 20 Year: 2021 Keywords: personnel selection; employee selection; student employment; intuitionistic fuzzy; VIKOR; MCDM. File-URL: http://www.inderscience.com/link.php?id=118539 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:4:p:349-375 Template-Type: ReDIF-Article 1.0 Author-Name: Erika Montes De Oca Sánchez Author-X-Name-First: Erika Montes De Oca Author-X-Name-Last: Sánchez Author-Name: Lourdes Loza-Hernández Author-X-Name-First: Lourdes Author-X-Name-Last: Loza-Hernández Author-Name: Angélica Loza-Hernández Author-X-Name-First: Angélica Author-X-Name-Last: Loza-Hernández Title: Supply of raw materials in an automotive manufacturing company Abstract: This work has the purpose to assess the inventory policy of a manufacturing company of automotive components and to propose a new policy which would help to reduce the holding and ordering costs associated with the purchase of its raw materials. A new inventory policy for raw materials to the company is proposed regarding purchase conditions of size lot materials and suppliers. The information obtained from the staff people of the company is used to apply the Wagner-Whitin algorithm and forecast method to determine the demand. A relevant reduction of the cost per year was found by applying the new inventory policy for raw materials in comparison with the current inventory policy of the company. This work will provide to the decision maker in the production area a new tool to determine the order purchases per year using a quantitative method. Journal: Int. J. of Management and Decision Making Pages: 323-348 Issue: 4 Volume: 20 Year: 2021 Keywords: raw material supply; inventory management; Wagner-Whitin algorithm; decision maker; supply chain; forecast methods. File-URL: http://www.inderscience.com/link.php?id=118541 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:4:p:323-348 Template-Type: ReDIF-Article 1.0 Author-Name: Quoc Trung Pham Author-X-Name-First: Quoc Trung Author-X-Name-Last: Pham Author-Name: Thi Kim Mai Ngo Author-X-Name-First: Thi Kim Mai Author-X-Name-Last: Ngo Author-Name: Matteo Cristofaro Author-X-Name-First: Matteo Author-X-Name-Last: Cristofaro Author-Name: Sanjay Misra Author-X-Name-First: Sanjay Author-X-Name-Last: Misra Title: Barriers in adopting IT and data analytics for internal auditing: findings from Vietnam's banking sector Abstract: Despite the intention to follow the technological wave, data show that there are still signs of difficulties for internal auditors to adopt IT and data analytics for their activity. Consequently, the purpose of this paper is to answer the research question: what are the barriers in adopting IT and data analytics for internal auditing? Semi-structured interviews with seven banks' head of internal audit department or equivalent in Vietnam have been conducted and analysed through a mixed thematic analysis approach (deductive and inductive). Among the six barriers identified, awareness, data extraction, and implementation have been assessed as the most critical across all banks. Internal auditors of middle-sized banks mostly perceive the obstacles, principally because of the fact that they have to decide to scale up or reduce investments to fit the IT and data analytics solution. This work enhances the understanding by academics and practitioners on how the adoption of IT in internal audits can be fostered, with great implications, and in terms of benefits if organisations can overcome these barriers. Journal: Int. J. of Management and Decision Making Pages: 198-219 Issue: 2 Volume: 20 Year: 2021 Keywords: internal audit; information technology; IT; data analytics; barrier; bank; Vietnam; thematic analysis. File-URL: http://www.inderscience.com/link.php?id=114448 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:2:p:198-219 Template-Type: ReDIF-Article 1.0 Author-Name: Yusuf J. Ugras Author-X-Name-First: Yusuf J. Author-X-Name-Last: Ugras Author-Name: Murad Alimuradov Author-X-Name-First: Murad Author-X-Name-Last: Alimuradov Author-Name: Daria Gavrilina Author-X-Name-First: Daria Author-X-Name-Last: Gavrilina Author-Name: Alena Berdiugina Author-X-Name-First: Alena Author-X-Name-Last: Berdiugina Title: An analytical model for the evaluation of the capital formation strategies in the Russian oil and gas companies Abstract: This paper discusses approaches for developing a capital structure optimisation strategy to maximise the market value of a company and enhance its financial sustainability. The weighted average cost of capital minimisation method was chosen to evaluate the capital formation strategies of the three largest Russian oil and gas companies which play a pivotal role in the Russian economy. After developing an optimal ratio of debt-to-equity for these three firms, practical recommendations are proposed on achieving an optimal mix of capital structure strategy. The study arrives at three different capital structure strategies for these three companies based on the utilised model. Journal: Int. J. of Management and Decision Making Pages: 392-411 Issue: 4 Volume: 20 Year: 2021 Keywords: capital structure; strategy; equity; loan capital; optimisation; financial leverage; oil and gas companies; corporate venture capital. File-URL: http://www.inderscience.com/link.php?id=118551 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:4:p:392-411 Template-Type: ReDIF-Article 1.0 Author-Name: Carlo Bagnoli Author-X-Name-First: Carlo Author-X-Name-Last: Bagnoli Author-Name: Francesca Dal Mas Author-X-Name-First: Francesca Dal Author-X-Name-Last: Mas Author-Name: Rosa Lombardi Author-X-Name-First: Rosa Author-X-Name-Last: Lombardi Author-Name: Alberto Nucciarelli Author-X-Name-First: Alberto Author-X-Name-Last: Nucciarelli Title: Translating knowledge through business model tensions: a case study Abstract: Translating knowledge from research producers to research users is the key for firms to achieve competitive advantage in the long term. Translation and exchange seldom rely on the design and use of knowledge maps that help to identify and visualise the key constructs and the primary connections among them. Despite the existing literature on knowledge translation has analysed various practices, it has neglected to use tensions as a means to translate, transfer, and create new knowledge. This research aims at cross-fertilising business model literature with tensions to show how a business model framework can be used to identify and solve tensions in a firm's strategic choices. This paper employs a longitudinal case study observing a leading company in the professional ovens industry. The research expands on the value triangle by arguing that tensions can be encompassed in complex frameworks that visualise a business model. It also shows to what extent leveraging on tensions can help researchers translating knowledge to practitioners and other stakeholders. The literature has analysed several tools and techniques to translate knowledge. However, no previous studies have investigated the role of the tensions' analysis of business models as an effective method to translate knowledge. Journal: Int. J. of Management and Decision Making Pages: 182-197 Issue: 2 Volume: 20 Year: 2021 Keywords: knowledge translation; knowledge management; business model; tensions; case study. File-URL: http://www.inderscience.com/link.php?id=114456 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:2:p:182-197 Template-Type: ReDIF-Article 1.0 Author-Name: Detcharat Sumrit Author-X-Name-First: Detcharat Author-X-Name-Last: Sumrit Title: A hybrid fuzzy multi-criteria decision-making model for prioritising risk mitigation strategies in deep-sea port public-private partnerships Abstract: Public private partnership has been broadly accepted as an effective practice to resolve funding issue for large-scale infrastructure projects, especially in many developing countries. Both research and practices emphasise the government's role in risk mitigation through direct and indirect tools. Few studies have examined the prioritisation of risk mitigation strategies associated with risk factors. Hence, this study proposes a hybrid fuzzy multi-criteria decision-making framework to prioritise risk mitigation strategies, integrating criteria importance through inter-criteria correlation (CRITIC) and multi-attributive border approximation area comparison (MABAC) approaches. Laem Chabang Port III expansion project in Thailand is used as a case study. This study indicates that 'political and regulatory risk', 'land acquisition risk' and 'public opposition risk' are the three most important risk factors. Also, 'appropriate allocation and sharing risk' is ranked as the most important risk mitigation strategy. The results would assist government and port concessionaires to implement risk mitigation strategies in stepwise manners. Journal: Int. J. of Management and Decision Making Pages: 412-441 Issue: 4 Volume: 20 Year: 2021 Keywords: public-private partnership; PPP; multi-criteria decision-making; MCDM; risk factors; risk mitigation strategies; deep-sea port project. File-URL: http://www.inderscience.com/link.php?id=118552 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:4:p:412-441 Template-Type: ReDIF-Article 1.0 Author-Name: Pedro Ivo Silva-da-Nóbrega Author-X-Name-First: Pedro Ivo Author-X-Name-Last: Silva-da-Nóbrega Author-Name: Adriana Fumi Chim-Miki Author-X-Name-First: Adriana Fumi Author-X-Name-Last: Chim-Miki Title: Decision-making based on citizens' standpoint: an importance-performance analysis of smart city indicators Abstract: The smart city perspective arose to guaranteeing the quality of life for its citizens. Thus, this research analysed the leading smart city characteristics based on the inhabitants' point of view. The data collection was through an online questionnaire applied in a sample of 395 Campina Grande City inhabitants. Data analysis was performed using the importance-performance analysis (IPA) matrix, to verify the municipality inhabitant's satisfaction related to 32 variables distributed in 12 dimensions of a smart city. The results indicated the inhabitant's satisfaction gaps regarding the items that classified the smart city, providing 16 key-factors for decision-making actors to prioritise actions. Also, we found eight factors of good performance, and eight factors of low priority. These results provide a managerial direction for the public sector to increase the ranking position and resident satisfaction. It still confirms the theoretical assumptions concerning the items' importance that evaluates the process of a city smartisation. Journal: Int. J. of Management and Decision Making Pages: 144-162 Issue: 2 Volume: 20 Year: 2021 Keywords: smart city; importance-performance analysis; IPA; Brazil; citizen participation. File-URL: http://www.inderscience.com/link.php?id=114458 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:2:p:144-162 Template-Type: ReDIF-Article 1.0 Author-Name: Suprava Devi Author-X-Name-First: Suprava Author-X-Name-Last: Devi Author-Name: Mitali Madhusmita Nayak Author-X-Name-First: Mitali Madhusmita Author-X-Name-Last: Nayak Author-Name: Srikanta Patnaik Author-X-Name-First: Srikanta Author-X-Name-Last: Patnaik Title: Influencing decision making through discounting functions Abstract: Majority of decisions constitutes a sequence of payoffs over a certain period, for which the decision makers construct the necessary tradeoffs among the current and future payoffs, rather than concerning typical discounting model. The paper discusses about the basic discounting models and their behaviours, greater discount rates for lesser outcomes in comparison with bigger outcomes and for benefits in contrast to losses. The work of the paper shows how to manage uncertainty by manipulating the requirement of hyperbolic discounting individuals for cooperation. The higher payoffs are preferred by the exponentially discounted individuals while the hyperbolically discounted individuals prefer the harder or restrictive one. The article also evaluates the different types of discounting models and then applies the model of hyperbolic discounting to the cooperation problem of Ainslie's prediction to the game of iterated prisoner's dilemma to outlines the given model of IPD and the conflicting point. We reveal that the delay payoffs are eminent for smaller weights which show that it will be better for the rational actor preferred to choose cooperate because they have inclination towards high discount for the near future. Journal: Int. J. of Management and Decision Making Pages: 163-181 Issue: 2 Volume: 20 Year: 2021 Keywords: discounted utility; exponential discounting; hyperbolic discounting; quasi-hyperbolic discounting; iterated prisoner's dilemma; IPD; intertemporal choice. File-URL: http://www.inderscience.com/link.php?id=114459 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:2:p:163-181 Template-Type: ReDIF-Article 1.0 Author-Name: Safa Jallali Author-X-Name-First: Safa Author-X-Name-Last: Jallali Author-Name: Faten Zoghlami Author-X-Name-First: Faten Author-X-Name-Last: Zoghlami Title: The relevance of risk management for bank profitability: evidence from selected Islamic banks Abstract: Using a sample of 129 Islamic banks during 2010-2018, this paper aims to examine the impact of risk management on the banks' profitability. Results show a significant negative impact of overall risk management on the profitability of Islamic banks. Further investigation has shown that the profitability of the sample banks seems to be negatively affected particularly, by the management of liquidity as well as Islamic-banking specific risks, however, the management of the credit and the operational risk seems to enhance the sample banks' profitability. Findings might make an important contribution to the current academic and practical debate on the risk management effectiveness, calling on Islamic banks' regulatory instance and policymaker to reinvent risk management strategies to become more effective in preventing risks but also effective in driving profitability. Journal: Int. J. of Management and Decision Making Pages: 123-143 Issue: 2 Volume: 20 Year: 2021 Keywords: risk management; bank profitability; structural equation modelling; SEM; Islamic banking. File-URL: http://www.inderscience.com/link.php?id=114460 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:2:p:123-143 Template-Type: ReDIF-Article 1.0 Author-Name: Waheed Akbar Bhatti Author-X-Name-First: Waheed Akbar Author-X-Name-Last: Bhatti Author-Name: Agnieszka Chwialkowska Author-X-Name-First: Agnieszka Author-X-Name-Last: Chwialkowska Author-Name: David Nickell Author-X-Name-First: David Author-X-Name-Last: Nickell Author-Name: Minna Rollins Author-X-Name-First: Minna Author-X-Name-Last: Rollins Title: Market knowledge learning in emerging markets: an empirical study Abstract: The turbulent environment that occurs within emerging markets creates a very specific environment for market knowledge learning. Current literature has focused mainly on market knowledge learning's impact on firm performance in developed markets. This paper focuses on market knowledge learning in emerging markets. The study examined multinational telecommunication organisations that provide mobile services in Pakistan. The relationships between various components of market knowledge learning and firm performance are investigated. The findings suggest that new knowledge acquisition, sense-making of acquired knowledge, and the subsequent implementation contributes to organisational knowledge and positively impacts firm performance. This study contributes to the debate on the differences in market knowledge learning in developed and emerging markets. Journal: Int. J. of Management and Decision Making Pages: 376-391 Issue: 4 Volume: 20 Year: 2021 Keywords: knowledge networks; learning; relationships; customer needs; sense-making; knowledge creation; knowledge dissemination; knowledge interpretation; knowledge implementation. File-URL: http://www.inderscience.com/link.php?id=118560 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:4:p:376-391 Template-Type: ReDIF-Article 1.0 Author-Name: Seng Hansun Author-X-Name-First: Seng Author-X-Name-Last: Hansun Author-Name: Vincent Charles Author-X-Name-First: Vincent Author-X-Name-Last: Charles Author-Name: Tatiana Gherman Author-X-Name-First: Tatiana Author-X-Name-Last: Gherman Author-Name: Subanar Author-X-Name-First: Author-X-Name-Last: Subanar Author-Name: Christiana Rini Indrati Author-X-Name-First: Christiana Rini Author-X-Name-Last: Indrati Title: A tuned Holt-Winters white-box model for COVID-19 prediction Abstract: The year 2020 has become memorable the moment the novel COVID-19 spread massively around the world to become a pandemic. In this paper, we analyse and predict the future trend of the COVID-19 cases for the top ten countries with the highest number of confirmed cases to date and the top ten countries with the highest growth percentage within the last month. Since many recent works have proposed that the COVID-19 pattern follows an exponential distribution, we use a tuned approach to the Holt-Winters' additive method as a white-box model. Based on the analysis, we found that most of the countries are still presenting an increasing trend of confirmed cases in the near future. Apart from vaccine and drug development, measures such as vigilance, strategic governmental actions, public awareness, and social distancing are unarguably continuously needed to handle the spreading of COVID-19 and avoid or curb the next wave of the outbreak. Journal: Int. J. of Management and Decision Making Pages: 241-262 Issue: 3 Volume: 20 Year: 2021 Keywords: COVID-19; future wave; Holt-Winters additive method; prediction; white-box model. File-URL: http://www.inderscience.com/link.php?id=116018 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:241-262 Template-Type: ReDIF-Article 1.0 Author-Name: Hadi Farshi Author-X-Name-First: Hadi Author-X-Name-Last: Farshi Author-Name: Davood Shishebori Author-X-Name-First: Davood Author-X-Name-Last: Shishebori Author-Name: Melody Khadem Sameni Author-X-Name-First: Melody Khadem Author-X-Name-Last: Sameni Title: Criteria prioritisation of tourist satisfaction from long-distance transportation services: combined fuzzy AHP and SERVQUAL approach Abstract: It is necessary to identify criteria affecting customer satisfaction from transportation systems and their impact on relevant industries. This study investigates and prioritises expectations of tourists from long-distance transportation services. Tehran (capital of Iran) to Yazd is chosen as the case study of this research. SERVQUAL survey was developed and distributed on this route at different modes. First, data from survey distribution are weighted based on the importance of each criterion and sub-criteria and then prioritised using a fuzzy AHP method. The results show that responsiveness is the most crucial criterion. It also depends on the type of the trip (educational, recreational or business) that may have a significant impact on selecting the most important criteria from their perspective. The results can lead to efficiency improvements in transportation systems as well as providing better facilities to attract more tourists. These insights can help managers and policymakers in planning and promoting tourist satisfaction. Journal: Int. J. of Management and Decision Making Pages: 263-281 Issue: 3 Volume: 20 Year: 2021 Keywords: transportation systems; tourist satisfaction; fuzzy analytic hierarchy process; FAHP; SERVQUAL. File-URL: http://www.inderscience.com/link.php?id=116019 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:263-281 Template-Type: ReDIF-Article 1.0 Author-Name: Hiroko Oe Author-X-Name-First: Hiroko Author-X-Name-Last: Oe Author-Name: Huyền Nguyễn Author-X-Name-First: Huyền Author-X-Name-Last: Nguyễn Title: Opportunities, challenges, and the future of cruise ship tourism: beyond COVID-19 with ubiquitous information sharing and decision-making Abstract: This paper aimed to assess the external environment and resource base of the cruise ship tourism sector in the Asia Pacific region. Following this, an analytical framework with key themes was developed, with implications for further research focusing on seamlessly connected global market perspectives. A desk research approach was used with the PESTEL and RBV-SWOT analyses of current cruise ship tourism focusing on information seeking, information sharing, and co-value creation based on ubiquitous network perspectives. From the study, three recommendations were developed: 1) strategic market expansion in Asia, based on information sharing and analysis; 2) implementation of the ubiquitous customer relationship management; 3) communicating sustainability and risk management during the current COVID-19 pandemic. It is strongly recommended to engage relevant stakeholders in designing future cruise tourism strategies in line with the global responsibility of sustainable business behaviour based on ubiquitous information sharing and seamless decision-making. Journal: Int. J. of Management and Decision Making Pages: 221-240 Issue: 3 Volume: 20 Year: 2021 Keywords: cruise ship tourism; ubiquitous information sharing; decision-making; post COVID-19; new normal. File-URL: http://www.inderscience.com/link.php?id=116025 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:221-240 Template-Type: ReDIF-Article 1.0 Author-Name: Yunanto Putranto Author-X-Name-First: Yunanto Author-X-Name-Last: Putranto Author-Name: Bagus Sartono Author-X-Name-First: Bagus Author-X-Name-Last: Sartono Author-Name: Anik Djuraidah Author-X-Name-First: Anik Author-X-Name-Last: Djuraidah Title: Topic modelling and hotel rating prediction based on customer review in Indonesia Abstract: The growth of the tourism sector and the use of hotel online booking platforms lead to the creation of textual data sources in the form of customer review. Motivation of this study is to add value to the customer review, using more than 50,000 samples taken from 510 hotels across Indonesia. First added value is understanding most talked topics by hotel customers. Using topic model latent Dirichlet allocation (LDA), this study revealed that services, price/food, facility, comfort and location are the most talked topics. Secondly, numerical hotel rating is derived from textual data using ridge regression. In addition, regression coefficient indicates the sentiment of each word in the customer review. Finally, the output of this study is expected to be useful for customers in assessing hotel service quality and in making booking decisions, and for hotel operators to get additional input during management decision making. Journal: Int. J. of Management and Decision Making Pages: 282-307 Issue: 3 Volume: 20 Year: 2021 Keywords: topic model; latent Dirichlet allocation; LDA; ridge regression; Indonesia. File-URL: http://www.inderscience.com/link.php?id=116028 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:282-307 Template-Type: ReDIF-Article 1.0 Author-Name: Fatemeh Sadat Seyed Esmaeili Author-X-Name-First: Fatemeh Sadat Seyed Author-X-Name-Last: Esmaeili Author-Name: Mohsen Rostamy-Malkhalifeh Author-X-Name-First: Mohsen Author-X-Name-Last: Rostamy-Malkhalifeh Author-Name: Farhad Hosseinzadeh Lotfi Author-X-Name-First: Farhad Hosseinzadeh Author-X-Name-Last: Lotfi Title: A hybrid approach using data envelopment analysis, interval programming and robust optimisation for performance assessment of hotels under uncertainty Abstract: The tourism industry is one of the most important industries that influences the economy of countries. Thus today, special attention to this industry is a major concern for managers and heads of economy, culture and tourism. Since hotels are one of the main pillars of the tourism industry, their performance should be evaluated with the aim of identifying desirable hotels as well as providing a way to eliminate the weaknesses of disadvantaged hotels. An important point in performance assessment of hotels is consideration of data uncertainty and the need to use an appropriate approach to address this uncertainty. Accordingly, the purpose of this paper is to use uncertain data envelopment analysis models to measure the performance of hotels under uncertainty. Finally, all of the proposed models are implemented for a real case study in order to measure the efficiency of hotels and then the results will be evaluated. Journal: Int. J. of Management and Decision Making Pages: 308-322 Issue: 3 Volume: 20 Year: 2021 Keywords: hotel industry; uncertainty; robust data envelopment analysis; RDEA; interval data envelopment analysis; IDEA; performance measurement. File-URL: http://www.inderscience.com/link.php?id=116029 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:3:p:308-322 Template-Type: ReDIF-Article 1.0 Author-Name: Xhimi Hysa Author-X-Name-First: Xhimi Author-X-Name-Last: Hysa Author-Name: Mario Calabrese Author-X-Name-First: Mario Author-X-Name-Last: Calabrese Author-Name: Alberto Bilotta Author-X-Name-First: Alberto Author-X-Name-Last: Bilotta Author-Name: Francesca Iandolo Author-X-Name-First: Francesca Author-X-Name-Last: Iandolo Title: The positive conformity experiment: judgments and decisions in cohesive groups under the pressure of positive attitudes Abstract: In classical conformity experiments, the conformity has been defined as a negative phenomenon or as a distortion of judgment under the group pressure. Furthermore, experiments are mainly performed within social aggregates rather than on groups, and even less on cohesive ones. This study aims to reshape positively the conformity while happening within cohesive groups. It shows how the positive social pressure of cohesive group members, intended as an influence based on optimism, can cause to the less optimistic group member a positive conformity. The present research relies on a quasi-experimental design in a cross-cultural setting. It considers the positive influence within groups of family members belonging to family businesses that are cohesive in terms of values. Both 'positive conformity' as a concept and 'positive conformity experiment' as a procedure are originated in this study. Findings show that out of 129 naïve, 54 conformed totally, 46 partially, and 29 resisted. Journal: Int. J. of Management and Decision Making Pages: 1-28 Issue: 1 Volume: 20 Year: 2021 Keywords: positive conformity; positive conformity experiment; PCE; picture apperception value test; PAVT; optimism; cohesiveness; family business. File-URL: http://www.inderscience.com/link.php?id=112354 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:1:p:1-28 Template-Type: ReDIF-Article 1.0 Author-Name: Ismail W.R. Taifa Author-X-Name-First: Ismail W.R. Author-X-Name-Last: Taifa Author-Name: Steve G. Hayes Author-X-Name-First: Steve G. Author-X-Name-Last: Hayes Author-Name: Iain Duncan Stalker Author-X-Name-First: Iain Duncan Author-X-Name-Last: Stalker Title: Enabling manufacturer selection and an equitable order allocation amongst textiles and apparel manufacturers Abstract: Small and medium-sized textile enterprises (SMTEs) contribute to the UK economy. Anecdotal evidence indicates that many SMTEs fail to secure enough orders from British retailers. So, this paper reports on the methodological decision analysis model and the qualitative linear weighted point method (LWPM) to develop the pertinent critical success decision criteria and virtually distribute the bulk orders equitably. The relevant decision criteria are stated for the SMTEs. The criteria are crucial as they were consolidated from the textiles and apparel manufacturers only, contrary to other several studies that established generic decision criteria. The criteria consist of corporate social responsibility, economic and environmental factors. The results indicate the opportunity to execute order quantities equitably after having ranked the collaborating SMTEs. LWPM assisted to rank SMTEs in selecting the right manufacturers. Since the criteria are from the SMTEs only; the generalisability of the results to other industries may need further research. Journal: Int. J. of Management and Decision Making Pages: 58-87 Issue: 1 Volume: 20 Year: 2021 Keywords: textile manufacturer selection; methodological decision analysis; decision criteria; equitable order allocation; balanced scorecard; BSC; linear weighted point method; LWPM; small and medium-sized enterprises. File-URL: http://www.inderscience.com/link.php?id=112357 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:1:p:58-87 Template-Type: ReDIF-Article 1.0 Author-Name: Lucie Vrbová Author-X-Name-First: Lucie Author-X-Name-Last: Vrbová Author-Name: Barbora Müllerová Author-X-Name-First: Barbora Author-X-Name-Last: Müllerová Title: Informal reasoning fallacies: answered and unanswered questions from a decision-making perspective Abstract: Informal reasoning fallacies are unfair deceptive ways of persuading somebody of a particular argument or point of view that is not valid or plausible. Although previous research has shed light on some aspects of argumentative flaws, the knowledge of fallacious reasoning principles is still insufficient, raising questions critical to the informed decision-making process. The present paper gives an overview of the findings for the following questions: first, are informal reasoning fallacies rare? Second, are people able to identify fallacious reasoning? And third, is the ability to identify fallacious reasoning sufficient to prevent their effect? Occurring in various situations from politics through healthcare to advertising and everyday life, fallacious reasoning remains a challenge for both cultivating the ability to identify misleading arguments and further research into this issue. Journal: Int. J. of Management and Decision Making Pages: 112-122 Issue: 1 Volume: 20 Year: 2021 Keywords: informal reasoning fallacies; fallacy identification; decision-making; cognitive bias; experimental evidence. File-URL: http://www.inderscience.com/link.php?id=112360 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:1:p:112-122 Template-Type: ReDIF-Article 1.0 Author-Name: Joon Kim Author-X-Name-First: Joon Author-X-Name-Last: Kim Author-Name: Hokyoung Ryu Author-X-Name-First: Hokyoung Author-X-Name-Last: Ryu Title: Goal-directed emotions nudge R%D investment decisions Abstract: R%D investment is a risk-taking decision for innovations. However, a trade-off relationship exists between short-term profit and R%D expenditure (present vs. future), because of the uncertainty involved. Choosing to invest in R%D is thus seen as a risk-taking propensity of the decision-makers, and how to perceive the risk is susceptible of their cognitive system. This study included three empirical studies involving R%D investment situations. It looked at how goal-directed emotion worked for the decision-maker's risk-taking propensity, and how this motivated to construct her/his goal-directed efforts in R%D investment. Study 1 showed that the affect heuristic confirmed the decision-maker's risk-taking propensity, and the electrodermal activity (EDA) measure in Study 2 revealed that the affect heuristic contributed to the goal-directed emotion. The last experiment (Study 3) revealed how one's risk-taking propensity, motivated by the decision-maker's goal-directed emotion, modulated the goal-directed efforts. Finally, the implications and suggestions for the decision-makers with regard to the R%D investment were discussed. Journal: Int. J. of Management and Decision Making Pages: 29-57 Issue: 1 Volume: 20 Year: 2021 Keywords: goal-directed emotion; affect heuristic; risk-taking; goal-directed effort; R%D investment. File-URL: http://www.inderscience.com/link.php?id=112361 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:1:p:29-57 Template-Type: ReDIF-Article 1.0 Author-Name: Ashish Varma Author-X-Name-First: Ashish Author-X-Name-Last: Varma Author-Name: Rita Lamboglia Author-X-Name-First: Rita Author-X-Name-Last: Lamboglia Author-Name: Daniela Mancini Author-X-Name-First: Daniela Author-X-Name-Last: Mancini Title: What motivates the accountants' awareness of their impact on corporate reputation? Abstract: The study probes the mediating effect of affective commitment (AC) on the linkage between job satisfaction (JS) of accountants and their awareness of how their work impacts their corporate's reputation (AICR). We collected primary data from 110 professional accountants from seven metropolitan cities in India. The data was analysed by using partial least squares-structural equation modelling (PLS-SEM) technique and checked for robustness through fuzzy set qualitative comparative analysis (fsQCA) technique. It was observed that AC has a significant and mediating linear effect on the linkage between JS and the accountant's AICR. No quadratic effects were observed. The study makes three distinct contributions. First, it contributes to a unique behavioural understanding of the antecedents influencing the professional accountant's AICR in the context of an emerging markets. Second, it contributes to the methods literature by testing both the linear effects and the quadratic effects and also by undertaking the robustness check of PLS-SEM analysis by fsQCA. Finally, the study uses the theoretical underpinning of the social exchange theory (SET) to build a deeper understanding of the antecedents of AICR. Journal: Int. J. of Management and Decision Making Pages: 88-111 Issue: 1 Volume: 20 Year: 2021 Keywords: job satisfaction; corporate reputation; quadratic effect; mediation; affective commitment; PLS-SEM; fsQCA. File-URL: http://www.inderscience.com/link.php?id=112365 File-Format: text/html File-Restriction: Access to full text is restricted to subscribers. Handle: RePEc:ids:ijmdma:v:20:y:2021:i:1:p:88-111