Selection of the qualified and the most appropriate employee plays crucial role for the success of the businesses. The selection process is complex and contains both subjective and objective criteria to be considered. For this reason, in this paper, Grey Relational Analysis (GRA) is proposed for employee selection. To illustrate the applicability of the proposed method, the most appropriate software engineer is selected for a technology firm. By this way, a scientific multi criteria decision making (MCDM) method is proposed to the firm that determines the best candidate intuitively with traditional methods.

The purpose of this study is to classify the nexus between message appeal (sensual vs. guilt message) via Facebook posts and customers' willingness to pay a premium price. Moreover, to recognize the environmental concerns as a mediator in the nexus between the message appeal and customers' willingness to pay a premium price. This research gained the needed data collected from the academic and administrative staff of the middle east university in Jordan, the sample consisted of 284 participants who have experience with the restaurant that supports the sustainability initiatives. An experimental research design has been developed with one study. A fictitious restaurant has been used in this study, and a fictitious Facebook page has been created to build the sensual and guilt messages posts to expose the participants to. SPSS ver. 23 software has been utilized regarding the study and to gain the intended goals. The results revealed that the customers have a greater willingness to pay a premium and levels of environmental concerns adoption when they are exposed to the stimuli that express the sensual massage then guilt message, environmental concerns played a mediator role on the relationship, and generation is a moderator.

The term innovation which is about the novelty on products, processes, services, technologies, on strategies or organizational structures is important for companies to stay in the competition and run their businesses well to gain both financial and organizational achievements. By the changing and globalizing world, innovation may require some interaction and cooperation which is called open innovation. In this research, five factors including brainstorming, feedback, benchmarking, open-minded mentality and relationship with supply chain elements triggering open innovation are investigated and ranked by one of the multi-criteria decision making models called ELECTRE III according to two criteria of inbound and outbound innovations.

Supplier selection is a complex multi-criteria decision making (MCDM) problem. There are literally various methods for choosing appropriate supplier but there are several criteria involved in complex decision making process. The classical MCDM methods cannot effectively solve real-world problems however fuzzy MCDM methods facilitate the solution fairly and enable the decision-makers to reach accurate decisions in this selection process. In this study, a supplier selection problem is handled, in a firm in automotive industry of Turkey. Fuzzy TOPSIS (Technique for Order Performance by Similarity to Ideal Solution) and generalized Choquet integral are used individually in the solution of the problem.

This study is targeted towards the explosive behavior of crypto-currencies, namely Bitcoin, Etherium, Litecoin and Ripple by investigating the crypto-currencies bubbles and the causal link between Bitcoin and other three crypto-currencies prices, using GSADF and wavelet coherence tests. The study aims to answer the following questions which have not been investigated in the literature to our best knowledge (i) Was there any bubble in the prices of Bitcoin, Etherium, Litecoin and Ripple and between 01.09.2016 and 01.04.2019? If yes, why (ii) was there any linkage between Bitcoin and Etherium, Litecoin and Ripple? Our findings reveal that (a) there were some bubbles in the crypto-currencies for the periods investigated; (b) there was a positive correlation between Bitcoin and Etherium, Litecoin and Ripple in the short-run; (c) changes in Bitcoin prices lead changes Etherium, Litecoin and Ripple prices in the long run at different periods.

Agricultural tractor selection is vital for farms, farmers or other agricultural companies in terms
of success and competitiveness in the global market. This selection may be assumed as a
MCDM (Multi Criteria Decision Making) problem involving qualitative and quantitative
factors that must be simultaneously integrated into the selection process. At the same time there
are many agricultural tractor alternatives in the market when purchasing an agricultural tractor.
This paper deals with the agricultural tractor selection problem using TOPSIS method. This
problem is also solved with two other MCDM methods; COPRAS (COmplex PRoportional
ASsessment) and EVAMIX (EVAluation of MIXed Data) to rank the tractors alternatives.
Lastly Borda and Copeland methods are used to aggregate all three ranking results.

Numerous studies have been conducted on individual and organizational adoption of social media, and many of these studies were conducted in advanced economies by focusing on large corporations. This study addresses the gap by examining the use of social media by SMEs in West Africa, notably Nigeria. Using a structured questionnaire, 682 small business owners were questioned regarding their thoughts on social media adoption: cost, privacy, convenience, and quality of service. The PLS-SEM result reveals a structural relationship between social media adoption and SME performance. Due to the substantial change in operations induced by COVID-19, enterprises are increasing their involvement in social media marketing to improve performance, and the competence of social media strengthens the effect on customer satisfaction.

It is considered that determining the factors influencing the purchase intentions of customers in the field of social commerce by taking into account the cultural structures specific to each region can give highly valuable feedback to companies in the commercial field where competition has considerably increased. To this end, in the present study, it was aimed to propose and test out a structural model for the factors of social commerce constructs, social influence, habit and trust, which affect the purchase intentions of consumers. The study group of the research consisted of 447 Facebook users who live in North Cyprus. The scale form used as the data collection tool in the study consisted of 6 parts. In the first part of the scale, closed-ended questions were asked to determine the socio-demographic characteristics of the participants. The other parts of the scale consisted of 4 items about social commerce constructs, 4 items about habit, 3 items about social influence, 4 items about trust and 3 items about purchase intention. The reliability coefficients for the scales ranged between 0.79 and 0.92. These results indicated that the reliability coefficients were at the desired level. Socio-demographic variables were summarized using descriptive statistics, frequency and percentage distribution. First, normality test analyses were performed on the scales, and it was concluded that the data showed a normal distribution (kurtosis and skewness values varied between +2 / -2). Following the normality test, the measurement model was tested. Within the framework of a structural model proposed regarding the factors influencing the purchase intention of customers who shop through social commerce, it was concluded that habit, social influence and social commerce constructs had a significant effect on purchase intention. It was also concluded that habit and social commerce constructs significantly influenced purchase intention through trust.

The selection of air compressor is a Multiple Criteria Decision Making (MCDM) problem including conflicting criteria and various alternatives. Selecting the appropriate air compressor is an important decision for the company as it affects the energy consumption and operating cost. To aid the decision making process in the companies, MCDM methods are proposed in the literature. In all MCDM methods, the main goal is to select the best alternative or to rank a set of given alternatives. In this paper, the air compressor is selected for a spinning mill of a textile company with an integrated approach based on MACBETH (Measuring Attractiveness by a Categorical Based Evaluation TecHnique) and COPRAS (COmplex PRoportional ASsessment) methods. MACBETH method is utilized to determine the weights of the criteria. Then COPRAS method is used to determine the ranking of the alternatives and select the best one.

In this paper, an alternative version of the fuzzy PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluations) method is proposed. Differently from other studies, preference functions used in PROMETHEE method are handled in terms of fuzzy distances between alternatives with respect to each criterion. In order to indicate the applicability of this method, the method is applied for a supplier selection problem in the literature. Ranking results are similar obtained by TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and fuzzy ELECTRE (ELimination Et Choix Traduisant la REalité) methods. The implementation of the proposed method indicates that the amount of computations is decreased and decision makers can easily reach to desirable solution.