International Journal of Applied Management Science (28 papers in press)
Colours in Advertising and Affective responses: The moderating Role of Gender and optimum stimulation level
by Balamoorthy S, Mrinalini Pandey
Abstract: The research examined vital variables for marketers and advertisers, affective responses, gender and optimum stimulation level in advertising context specifically on colours. We studied the influence of gender and optimum stimulation level on affective responses: pleasure, arousal, dominance in cool and warm experiment. This study reviewed papers pertaining to colours in marketing, advertising, psychology and based on those developed hypotheses, adopted statistical factorial design for the experiment in the food industry context, and then applied Multivariate analysis of variance to test the interaction effect; the data was gathered from a sample of 186 young students. Results of two experiments carried out revealed that gender and OSL play a vital role in influencing of colours in advertising on emotional states. Theoretical implications concerning affective responses to colour and managerial implications for advertisers and marketers are revealed.
Keywords: Advertising; Affective responses; colours in advertising; Pleasure; Arousal; Dominance; gender; optimum stimulation level.
Design of House of Quality using SERVQUAL and QFD for service quality improvement: a case of Bahir Dar city hotels
by Ibrahim Abdulkerim, Muralidhar Avvari, Tomas Cherkos
Abstract: The purpose of this study is to analyze and measure the current service quality of Bahir Dar city hotels and design a House of Quality to improve the service quality and competitiveness. SERVQUAL and Quality Function Deployment (QFD) models are employed in this study as a service quality measurement, design and customer satisfaction improvement tools. After prioritizing customer needs, competitive assessments of hotel services were done from the customers perspective using House of Quality (HoQ). As a result of the differences between expectations and perceptions, service quality gaps are revealed in all hotel service quality dimensions. Generally, the results of the research revealed that the overall quality levels of services provided by three and four-star hotels are bellow customers expectations. From the findings of the study, technical requirements important to enhance service quality and meet customer satisfaction are identified and prioritized, and then a house of quality is designed to improve the service quality and competitiveness of hotels.
Keywords: hotel service quality; customer satisfaction; SERVQUAL; QFD; House of Quality.
Why Interpersonal Bonds may Supersede Organisational Commitment on Performance: An Integrative Motivational View
by EDWARD AKOTO, EUNICE AKOTO
Abstract: Decades of research have demonstrated that employees may experience multiple commitments on the job including the interpersonal bonds to the supervisor and the work team which are predictive of performance. Limited research has integrated the interpersonal and the organisation (global) commitments in examining outcomes of commitment, and a cursory view of the research suggests that the interpersonal bonds may have an incremental predictive effect on performance over the global commitment. However, commitment research is yet to explicitly articulate a theory that explains how and why the interpersonal bonds may supersede the global organisational commitment when predicting performance. Adopting Klein and colleagues conception of commitment as a volitional psychological bond of dedication, and integrating prior research, we put forth a theory of the psychological processes of the commitment-performance link that explains the incremental predictive effect of the interpersonal bonds. Implications of our postulation for commitment theory, research and practice are discussed.
Keywords: Organisational commitment; interpersonal bonds; supervisor commitment; work team commitment; motivation; goal setting; performance.
Relative efficiency measurement of Canadian mining companies
by Mohamed Dia, Kobana Abukari, Pawoumodom M. Takouda, Abdelouahid Assaidi
Abstract: The mining industry, one of Canadas most important sectors, is opined to be experiencing productivity issues as one of its most important issues. We perform the first efficiency analysis of Canadian mining firms using Data Envelopment Analysis. We compute technical, managerial and scale efficiencies for a sample of 30 listed mining firms during the period 2011-2015. Our results confirm that, overall, the firms exhibit low to average technical efficiencies, largely due to managerial inefficiencies. Further, their technical and managerial efficiencies have been declining during the 2011-2015 period. Finally, sub-sectorial analysis shows that gold and diamond, gemstones, platinum & precious metal mining firms perform the best on scale efficiency, while general mining companies set the standard for managerial efficiency.
Keywords: Data Envelopment Analysis; Relative efficiency; Productivity; Mining firms; Canada.
First mover advantage on Family Firm Succession
by Shital Jayantilal, Silvia Jorge, Tomas Palacios
Abstract: In spite of the proliferation of studies in various areas regarding the benefit of being first, the fist mover advantage (FMA), in the context of family firms the work is (at best) scant. Adding to this, the impact that such firms have on the world economic stage it becomes both an interesting and a necessary research avenue. To study FMA in these firms, we will focus on one of the most critical stages in the lives of such firm: succession. As most of family firms do not outlive their founders, the passage of the executive power to the next generation is a crucial test that these firms face. It is not uncommon during this stage to see siblings rival to be nominated successor. This paper advances the succession game presented by Jayantilal, Jorge & Palacios (2016), to study whether there is any advantage for the child who moves first in the succession race. The results indicate that indeed the first mover advantage exists, and that the emotional cost of conflict plays an important role in determining it.
Keywords: First Mover Advantage; Sibling Rivalry; Family Firm; Succession; Game Theory.
Millennials Alumni and Donor Behavior: An Insight from Management-based University in Malaysia
by Hasnizam Shaari, Phoon Lee Yong, Salniza Md Salleh, Selvan Perumal, Fakhrul Anwar Zainol
Abstract: Recent economic crisis had dragged not only profit-oriented organizations into hard situation, non-profit organizations such as public universities in Malaysia also badly affected especially in term of limited budget allocation from government. Hence, public university facing tremendous challenge in sustaining their universitys performance especially in sustaining their ranking and reputation at global arena. As a result, universities in Malaysia nowadays are encourage to be more creative in wealth creation for financial sustainability. This study attempts to investigate alumni readiness to donate to their alma maters as a part of the financial sustainability agenda among public universities. The study among 311 millennials alumni from one of the well-known management-based university in Malaysia revealed that attitude towards donation, peer pressure and religiosity play a significant role in explaining donor behavioural intention. Besides, religiosity also found to mediate the relationship between attitude towards donation and donor behavioural intention. Implication and recommendation for future research also is discussed in this article.
Keywords: brand management; alumni donor intention; religiosity; theory of planned behaviour; university.
Business Leadership Strategies Under Tenuous Economic Conditions
by Hicham Jaroudi, Mohamad Saleh Hammoud
Abstract: Small and medium-sized enterprises (SMEs) in Lebanon are at risk of failure because of the geo-economic crisis. The purpose of this multiple case study was to explore strategies successful leaders of SMEs use to sustain their businesses during tenuous economic conditions. The target population for the research comprised six business leaders of SMEs in Beirut, Lebanon. Data were gathered from company documents and interviews and analysed using Yins data analysis method. Four themes emerged: Leaders of SMEs embedded change management in their organizations, increased awareness in their organizations, created solid organizational and financial structures, and created and targeted niche markets.
Keywords: Leadership; Sustainability; Change Management; Innovation; Strategy; Tenuous Economic Conditions; Small and Medium Size Enterprises; Awareness; Organizational Structure; Financial Structure; Niche Markets.
Risk Lovers, Mixed Risk Loving And The Preference To Combine Good With Good
by Octave Jokung, Sovan Mitra
Abstract: This paper examines the concept of risk loving (that is risk seeking, intemperance, edginess, etc.), which can be characterized by preferences over simple lotteries. This paper analyzes the notion of preferring to combine good with good, and bad with bad, as opposed to combining good with bad as usual. The significance of such preferences have implications on utility functions and are analyzed in the paper. This paper extends Eeckhoudt and Schlesinger (2006) results to risk lovers, the results from Crainich, Eeckhoudt and Trannoy (2012) are also generalized to higher orders. We also generalize to higher orders the concept of bivariate risk seeking, introduced by Richard (1975) and called correlation loving by Epstein and Tanny (1980). In the expected utility framework, risk loving of order (N,M) coincides with the non-negativity of the 〖(N,M)〗^th partial derivative of the utility function. In dealing with mixed risk loving utility functions, we give several useful properties, for example, mixed risk loving is consistent with the mixture of positive exponential utilities and with non-increasing coefficients of absolute risk aversion at any order.
Keywords: bivariate utility function; correlation loving; cross-prudence; intemperance; mixed risk loving; risk seeking.
Understanding perception of commuters for safety and risk mitigation mechanism: The case of public transportation.
by Govind Srivastava
Abstract: Public transportation specifically mass rapid transit service like metro rail is vulnerable to the risk due to high customer traffic, visibility, accessibility and increasing security threat. Commuters are highly sensitive and concerned about their safety while travelling through public transport facility and safety and security measure of public transportation is one of the most significant drivers of customer satisfaction. In the present study, perception data was collected from all the 160 metro stations of Delhi Metro and both qualitative and quantitative research technique was employed to analyze the result. The result of the study depicts that presence and alertness of security personnel has most significant impact over commuter satisfaction followed by effectiveness of metal detector and safety provisions against accident and terrorist attack. This study opines that security services need to be reviewed in the light of changing security dynamics to counter any critical incident and unforeseen situation.
Keywords: Risk Mitigation; Security services; service quality; public transportation; commuter satisfaction; Delhi Metro.
AN RFM AND CLV ANALYSIS FOR CUSTOMER RETENTION AND CUSTOMER RELATIONSHIP MANAGEMENT OF A LOGISTICS FIRM
by Lithiya Paul, T. Radha Ramanan
Abstract: To retain a customer in a logistics industry is difficult as it highly depends on the customer relationship management and the quality of the service delivered. As per studies major portion of the companys revenue comes from the existing customers and they are to be retained for longer period of time for maximum profit contribution. Hence, it is important to perform a data analysis on the customer relationship management (CRM) data that holds the previous purchases of the customer, to identify the right segment of customers who are to be retained and adopt strategies accordingly for improving customer relationship. This study segments the customers into various segments depending on the parameters such as the Recency (how recently the customer has placed order), Frequency (how frequently the customer has placed the order) and the Monetary value (the contribution of the customer to the companys profit) which is collectively known as the Recency-Frequency-Monetary Value (RFM) Analysis. Customer Lifetime Value estimation is also done on these segments obtained using the RFM Analysis to identify the profit contribution of each of the segments. Depending on the analysis carried out and the results obtained, management can take decisions in adopting various marketing strategies based on the RFM scores and CLV of each segment. Company can also take decisions on budget spending in retaining the right customers for longer period of time and maximize profit.
Keywords: Recency-Frequency-Monetary Value Analysis; Customer Lifetime Value estimation; Segmentation; Customer Retention; Customer Relationship Management; Logistics industry.
The Evaluation of Renewable Energy Predictive Modeling in Energy Dependency Reduction: A System Dynamics Approach
by Emad Rabiei Hosseinabad, Reinaldo J. Moraga
Abstract: Supplying energy has become one of the biggest concerns of developed countries due to the growing energy needs in the last decades. Security of energy supply has made the countries to rely more on energy imports from external sources, and become energy dependent to the greater extent. Utilizing available renewable energy resources has been characterized as a reliable indicator, to reduce energy dependency in countries as well as securing the supplying of energy-based needs in the future. In this paper, a system dynamics model with special aim on the role of renewable energy resources on decreasing energy dependency is constructed. By analyzing the dynamics of the model, different scenarios of renewable energy policies are used as interventions to be implemented and assessed in the model while investigating the applicability of renewable energies, to manage national energy supply effectively. To illustrate benefits of renewable energy utilization, the proposed model is applied to the state of Illinois in the U.S. to analyze the decrease in imported energy resources from external sources and its subsequent cost savings due to applying the pre-defined renewable energy action plans scenarios. The results indicate that although the electricity/energy consumption growth rate will be increased up to 20% by 2025 in state of Illinois, the energy dependency on imported sources will be decreased up to 53% based on predefined scenarios.
Keywords: Renewable Energy Policy; System Dynamics Modeling; Energy Dependency; Energy Systems; Predictive Modeling.
Antecedents of online purchase intention in the context of social commerce
by Rishabh Shekhar, Uma Pricilda Jaidev
Abstract: The present growth in the e-commerce platform has opened up social commerce (SC), which uses social media to enhance commerce using social interactions. A thorough literature survey led to the identification of s-commerce dimensions namely, ratings and reviews, forums and communities, recommendations and referrals. In addition perceived usefulness, perceived ease of use were also identified as factors that may trigger intention to purchase. Trust in social commerce has been identified as a mediator in the relationship between social commerce constructs, perceived ease of use, perceived usefulness and intention to purchase. Stepwise regression was used to understand the strongest predictors of SC adoption. Mediation analysis is also used to establish the role of trust. The study found that trust acts as a mediator between i) social commerce construct, ii) perceived usefulness and intention to buy, iii) perceived ease of use and intention to buy. This study added a new construct and empirically tested the relationship among the constructs.
Keywords: Social commerce adoption; social commerce; social media; trust; perceived ease of use; perceived usefulness; online purchase intention.
Tabu search and constraint programming-based approach for a Real Scheduling and Routing Problem
by Abdellah El Fellahi, Anass El Yaakoubi
Abstract: Constraint Programming Method (CPM) has gained much attention in the last yearsrnsince it proved a great efficiency to model and solve many combinatorial problems likernscheduling, assignment and routing problems. In this paper, we first present a CPMrnmodel for a real scheduling and routing problem (SRP) faced by a company of water andrnelectricity distribution. The problem aims to minimize the total distance traveled by therncompanys technicians to the clients locations in order to carry out some services. To solve the SRP three CPM based solution methods are proposed: an exact method (Branch and Prune), a Local Search meta-heuristic and a hybrid tabu search and constraint programming method. The proposed solution methods have been tested using three sets of instances; two sets formed of random instances and one constituted of real instances provided by the company with which we are working. The results obtained by the three methods show clearly the superiority of the hybrid algorithm over the two others methods.
Keywords: Constraint programming Methods; Tabu Serach; scheduling and routing
Establishing and Comparing Electrical Energy Consumption of Sawmills
by Dayakar Devaru, Ramakrishna Maddula, Bhaskaran Gopalakrishnan
Abstract: Quantity of energy required to produce a unit of product or specific energy consumption (SEC) is an important aspect to lumber producing sawmills since it can also represent production efficiency to some extent. The current research focuses on establishing SEC profiles for hardwood lumber sawing in sawmills and comparing them with SEC of other sawmills. Benchmarking energy consumption will help the sawmill industry to know where it stands against industrial bests and realize how to improve their energy efficiency and productivity. SEC was calculated in the traditional way initially by taking total energy consumption from energy bills and dividing it by total board feet sawn. Sawmills produced different lumber sizes which affected energy consumption, and hence a method based on surface area cut was developed to calculate SEC. Better results were obtained by SEC calculated based on surface area cut since it exposed production bottle necks than traditionally calculated SEC.
Keywords: Sawmills Energy Profiling; Lumber Sawing; Wood Processing; Lumber Surface Area; Sawmill Motors; Sawmill Productivity Improvement; Electrical Data logging; Energy Efficiency; Sawmills Benchmarking; Sawmill Process Management;.
A Two-Stage Stochastic Programming Model for Assortment Optimization
by Khaled N. Alqahtani, Nazrul I. Shaikh
Abstract: This paper presents a two-stage stochastic programming model for retail assortment optimization. Decisions related to what products to stock and in what quantity are taken in the first stage while decisions related to what products to use to satisfy the primary versus the secondary demand are taken in the second stage. Such a model is very useful for online retailers and catalogue merchants who witness a gap between an order arrival and fulfillment. A case study illustrating the modeling approach and its benefits as compared to other existing assortment optimization techniques is also presented.
Keywords: Stochastic programming; assortment planning; retail; demand substitution; two-stage models.
An Inventory Allocation Algorithm in a Periodic Stock Control System Where Demand Type Visibility is not Available
by Burak Kandemir
Abstract: We propose an algorithm for inventory allocation of common products among multiple customers in a make-to-forecast manufacturing system which uses periodic stock review. The method takes into account backlogs, unfulfilled forecasts (that cannot be shipped until the end of the period), and planned safety stocks and has a series of steps, sequence of which are interchangeable. The algorithm is then applied to the manufacturing system summarised above and further analysis and statistical test show that it outperforms the system where only the demand type is considered and allocation efficiency increases.
Keywords: Inventory allocation; backlog management; demand fulfillment; supply chain planning.
A New Neighborhood Formation Approach for Solving Cold-Start User Problem in Collaborative Filtering
by Rahul Kumar, Pradip Kumar Bala, Shubhadeep Mukherjee
Abstract: Collaborative filtering (CF) is the most widely accepted recommendation technique. Despite its popularity, this approach faces some major challenges like that of a cold-start user problem where a user has rated a handful of items. Due to very few ratings available for the cold-start users, their similarities with rest of the users has been questioned in the past, none have focused on their approach for neighbor identification. Whilst the traditional CF approaches select only those similar users as neighbors who have rated the item under consideration, the neighborhood comprises of weak neighbors of the cold-start users. To address this shortcoming, our proposed approach selects neighbors with highest similarity irrespective of their availability of ratings for that item. Moreover, for the selected similar neighbors with missing ratings, an item based regression is performed to partially populate the matrix. The efficacy of the proposed neighborhood formation approach addressing cold-start user problem is validated on two publicly available MovieLens datasets. Our approach provides superior quality of recommendations evaluated on a range of prediction and classification accuracy metrics. The results are encouraging particularly for systems having higher percentage of cold-start users which indicates the effectiveness of our approach in practical settings of new internet portals.
Keywords: recommender systems; collaborative filtering; cold-start problem; neighbors; similarity co-efficient.
AN ASSESSMENT OF ATTITUDE TOWARDS ENVIRONMENT: A STUDY OF FIVE STAR HOTELS IN RAJASTHAN
by Smita Sharma, Naresh Dutt Mathur
Abstract: The environmental attitudes of individuals are an important predictor of their behavior towards their environment. The present study examines the attitudes of hoteliers in Rajasthan towards environment. This research employs the Dunlap and Van Lierres New Ecological Paradigm Scale to analyze the attitude of these hoteliers on environment. The research is primarily exploratory in nature and tries to explore the attitude of hoteliers towards environment in Rajasthan. The study comprised of 300 top and middle management people who were questioned according to the New Ecological paradigm. The mean values ranged from 1.54 to 4.52 for odd and even numbered items. Three factors have been extracted by the extraction sum of squared loadings. The Eigen values for three components extracted are greater than 1 (3.58, 2.00 and 1.757). This explains 73.37% of the variance in the communalities The NEP score in this study was 3.05, which indicates that ecological attitudes among the participating hotels were in accordance with the budding NEP.There was found to be a higher score on the odd number questions and a lower score at the even numbered questions. The deviation values were also less than one. Mostly the odd numbered questions were agreed by the respondents which reflected the endorsement of NEP. The study reflects fairly good intentions of the top management regarding development of environmental management in the hotels. Thus these eco centric values need to be incorporated in the organizational values and then translated into an effective environmental management plan for the organization.
Keywords: New Ecological Paradigm; Environmental attitudes; Environmental management plan.
Money Managers Interactions And Bayesian Model
by Wei Simi, Xiaoli Wang
Abstract: The essential incentives for investment portfolio managers are pursing relative outstanding portfolio performance among their peers in order to be rewarded by the fund inflows. This competition for fund inflows becomes dynamic games among money managers. This paper accordingly proposes a new strategic asset allocation methodology by considering strategic interactions among portfolio managers under the condition of dynamic consideration of incomplete information. To be specific, we extended the approach of Basak et al (2012) by considering the case of portfolio managers who make strategic asset allocation decisions under the situation of incomplete information of their peers behaviors using the framework of Bayesian (Nash) equilibrium.
Keywords: portfolio choice; strategic interaction; Bayesian; Nash equilibrium; relative performance.
Application of Soft Computing Techniques Rough Set Theory and Formal Concept Analysis for analysing Investment Decisions in Gold-ETF
by Biswajit Acharjya, Subhashree Natarajan
Abstract: Financial eco-system is growing complex and noisy with incomplete information and in-grained uncertainties, making the market projections difficult. Gold ETF (G-ETF) is always considered as a safe-haven and as an alternate for reducing portfolio risks, countering inflation, economic slides, currency depreciation and many more financial market risks. The familiarity and furor to invest in Gold has not deterred for centuries. But as the market evolves, there is a pressing need to understand the investors preferences, behavioural drivers and actual behaviour with reliable models and proven techniques to predict the movements.rnrnThis paper considers analyzing Investors behaviour in Gold ETF market - that is characterized with incomplete, vague information- by using very competent soft computational techniques: Rough Set Theory (RST) and Formal Concept Analysis (FCA). RST helps in generating decision rules and Formal Concept Analysis is used to identify key factors affecting investment decision towards G-ETF. This research is first of its kind, as integration of the foresaid techniques for analyzing G-ETF market was not previous researched. The study was conducted on 250 samples to understand their investment behaviour towards 12 G-ETFs listed in India.rnThe analysis provides rich information about the characteristics of the investors discretised under different decision rules; strongly recommending the combined use of RST and FCA for data-driven decisions.rn
Keywords: Gold ETF; Behavioural Finance; Rough Set Theory; Formal Concept Analysis; Decision Rules; Sub Concept; Super Concept.
Particle Swarm Optimization Based Source Code Plagiarism Detection Approach Using Non-Negative Matrix Factorization Algorithm
by Bhavani Madireddy, K. Thammi Reddy, P. Suresh Varma
Abstract: Source code plagiarism is an easy to do task, but very difficult to detect without proper tool support. Various source code similarity detection systems have been developed to help detect source code plagiarism. Numerous efforts have been made in literature to introduce an efficient source code detection approach with less time complexity and accurate classification of plagiarized codes. However, there exists a tradeoff amongst the less complexity and high accuracy. In the similar way, this paper likewise attempted to build a framework to detect the plagiarized codes from the source code corpus. This approach employed an intelligent swarm optimization algorithm known as PSO in the detection phase and robust matrix factorization algorithm known as non-negative matrix factorization based on Alternative Least Square (ALS) Algorithm for reduction of features from sparse matrix. Depending on the implementation, ALS is very fast and significantly less work than an SVD implementation. The experimental results showed that, it has good performance compared to the other existing approaches such as precision and recall.
Keywords: Source Code Detection; Evolutionary Algorithm; Particle Swarm Optimization; Non-Negative Matrix factorization; Alternative Least Square Algorithm; Dimensionality Reduction.
Analysing the barriers in Indian stone crushing industries: An ISM and fuzzy AHP approach
by Kunal K. Ganguly, Debabrata Das
Abstract: In an emerging economy like India, labour intensive mining industry like stone crushing for construction aggregates play a vital role for employment and economy. These industries are usually small scale and have a considerable impact on the biological resources as well as socio economic setting of local population. In this context, therefore, identifying and ranking the barriers that affect stone crushing operations becomes essential. This can be taken as a reference by the decision makers while deciding the hierarchy of action necessary for effective operations of stone crushing units. The present research attempts to explore various factors affecting stone crushing operations and their interactions. Interpretive structural modelling (ISM) is employed in this research to extract the interrelationships among the identified barriers and Fuzzy Analytic Hierarchy Process (Fuzzy AHP) applied to rank the barriers.
Keywords: Mining; Stone crushing operations; Interpretive structural modelling; Fuzzy Analytic Hierarchy Process Barriers; Environmental impact.
Islamic Work Ethics: Multidimensional Constructs and Scale Validation
by Saeed Aldulaimi
Abstract: This paper debates the Islamic perspective on the work ethics employed in an organization. It aims to discuss the issues of assumptions involving the Islamic Work Ethic (IWE). Therefore, this paper uses a group of dimensions from the fundamental of Islam to addresses the present gap in the management literature. In addition, we validate an instrument to measure IWE dimensions as defined by Aldulaimi (2016). This study aims to answer the following question: what are the fundamental dimensions that facilitate the measurement of IWE?
This paper reviews the foundations of IWE and investigates various empirical studies conducted in several countries. Then, briefly present a short historical and conceptual review of the work ethic construct, suggest a general conceptual definition of work ethic, and offer a multidimensional model (with 18 dimensions) can enable researchers to evaluate and measure work ethic in Islamic societies. A total of 1252 respondents participated in this study to validate the IWE instrument.
The study reveals evidence of ethical formulation depending on Islamic literature to construct Islamic values for work. This study produces a valid instrument (questionnaire) consisting of 90 items (questions) to measure IWE in Muslim societies. Due to using the structural equation modeling (SEM), the number of questions was high. Consequently, participants find that it is not an easy task to answer such long questions. Nevertheless, this paper presents new dimensions that can be utilized to enrich the area of measuring IWE in organizations.
This study is one of the few attempts to suggest appropriate dimensions of Islamic Work Ethic in the management literature. It provides a measurement scale for 18 dimensions that promise to strengthen individual transparency and morally, which would eventually enhance economic progress in the Islamic world.
Keywords: Work ethics; Islamic work ethics; Islamic values and validation.
Twin Approximation space and its Application in Analyzing Employee Engagement and Employee Value Proposition
by Praba B, Gomathi G, Vijaya Mani
Abstract: The concept of Rough set was introduced by Pawlak is efficiently used in data analysis. In this paper, we have introduce Twin rough set defined on a Twin approximation space I = (U,A,B) where U is a non empty finite set of objects and A and B are the two disjoint set of fuzzy attributes on the elements of U. This novel definition plays a vital role in comparing the influence of a set of attributes in A over that of B on the elements of U. Also, we have proposed an algorithm for this comparative analysis and the proposed algorithm is illustrated by taking a real time data. In this, a detailed analysis is done in comparing the two significant aspects namely Employee Engagement and Employee value proposition of the employees in an Organization.
Keywords: Fuzzy set theory; Rough set theory; Information system.
Brand association in jewelry segment: scale development and validation
by Shamily Jaggi, Dheeraj Nim
Abstract: The purpose of this paper is to explore different dimensions of brand association for jewelry brands by females. It is an attempt to develop a reliable and valid brand association scale for estimating the females associations for different jewelry brands. Both qualitative as well as quantitative approaches were used for reduction and validation of the scale. The research was conducted into four phases through four different questionnaires. The finalised scale consist of 8 dimensions i.e. brand connect, brand image, brand loyalty, brand offerings, customer satisfaction, payment mode, brand promotion and brand preference with 36 total items of the scale. The scale was developed for jewelry sector only. Hence, the findings and implications drawn from this study might not be applicable to other industries. Academicians and researchers can use this developed scale for performing quantitative studies related to different aspects of brand associations in jewelry sector. The Jewelry Brand Association Scale (JBAS) developed through this study will help the marketers to improve their methods and measurements of jewelry brands in numerous ways to create favourable and positive associations leading to attraction and retention of customers. Review of literature revealed that there is no scale developed for measuring brand associations for jewelry among women. So, this study developed a scale titled: Jewelry Brand Association Scale (JBAS) to bridge this research gap.
Keywords: consumer behaviour; brand association; brand image; brand awareness; branding; jewelry; women.
Blockchain Technology Adoption in the Supply Chain (UTAUT2 with Risk)- Evidence From Indian Supply Chains
by Ashutosh Sheel, Vishnu Nath
Abstract: The aim of the present study is to study blockchain technology adoption intentions by supply chain practitioners using the UTAUT2 (Unified Theory of Adoption and Use of Technology) with risk model as the conceptual framework. Data was collected from 360 supply chain practitioners in India. The results of the current study indicate that behavioral intentions for blockchain technology adoption are significantly influenced by performance expectancy, social influence, hedonic motivation and price value considerations. The study proposes some guidelines for adopting blockchain in the supply chain. The present study tries to fill in the gap in the existing literature by listing out the factors that influence blockchain technology adoption in the supply chain.
Keywords: Extended UTAUT2 with risk; Blockchain; Supply chain management; IT.
Mobility Alternative Selection for US Automobiles Potential Evolution to Autonomous Vehicles
by Naval Goel, Jose Garcia Crespo, Vinay Nihalani
Abstract: Quantitative and multiple-criteria decision-making analysis are performed to rank transportation modes for consumer needs. Each need is assumed to have fourteen mobility attributes. A consumer in 2018 can own a vehicle, call a taxi or hail ride. The quantitative analysis is cost per mile. For owning a vehicle, lifecycle cost includes vehicle price, registration and insurance charges, operating expenses, and financing. For taxi or hailing service, cost include a base fare, booking fee, per minute charge and per mile charges. The cost to own a vehicle is about $ 1.43/mile while that for a taxi or a ride-hailing is around $ 3 per mile. For qualitative evaluation, mobility attributes are ranked for each transportation need, and weights of each attributes are calculated using linear programming. This evaluation shows owning an internal combustion engine is the most preferred transportation mode while ride hailing is the least preferred option in 2018. This study can be used to identify mobility alternatives given consumer needs in future as automobiles evolve to autonomous vehicles.
Keywords: Transportation modes; internal combustion engine; hybrid vehicle; electric vehicle; transportation needs; mobility attributes; autonomous vehicles; multiple-criteria decision making; linear programming.
Trust, commitment and business expansion in automotive supply chains in a developing country: a principal-agency perspective
by J.A. Badenhorst-Weiss, A.S. Tolmay
Abstract: The automotive industry is important for sustaining developing countries economies. Literature states the South African automotive buyer-seller relationships are hampered by conflict where both parties reveal self-serving behaviour. This results in a decrease of trust and commitment, and increased supply chain uncertainty that is hampering business expansion. Hence, this study aimed to investigate the relationships between trust, commitment and business expansion through buyer-seller relationships. A quantitative study was conducted through a structured close-ended questionnaire among 114 managers from automotive component manufacturers. The empirical research found a strong presence of trust and commitment in automotive buyer-seller relationships. The influence of trust and commitment on possible business expansion was determined through a regression-based analysis. Findings revealed trust in a seller (agent) results in business expansion and commitment to a seller acts as a mediator between trust and business expansion. Action plans for both agents and principals (buyers) are recommended to sustain business.
Keywords: Automotive industry; supply chains; supply chain relationships; supply chain risk; social exchange theory; agent-principal theory; trust; commitment; business expansion; South Africa.