Yulial Hikmah, Vindaniar Yuristamanda, Ira Rosianal Hikmah, Karin Amelia Safitri,
Volume 33, Issue 2 (6-2022)
Abstract
Flood is a serious problem that can occur in many countries in the world. For tropical countries such as Indonesia, flooding is generally caused by rainfall that is high above normal. Almost all cities in Indonesia experience flooding every year, including DKI Jakarta, the capital city of Indonesia. Based on data from the National Disaster Management Agency (BNPB) in 2020, East Jakarta is a city that is prone to flooding. Considering that there are so many losses caused by flooding, it is necessary to have a disaster mitigation effort to minimize the possible risk of flooding. One of the risk mitigations due to natural disasters is to buy insurance products. However, not all people buy flood-impacted insurance products because of their economic and social factors. This research aims to create a model with Probit Regression Model to determine the factors that influence Indonesian's interest to buy flood-impacted insurance products. Furthermore, this study conducts a test. The results show that from the 19 factors used, eight factors significantly affect Indonesia's interest in purchasing flood-impacted insurance products. In the end, this research calculates the level of model accuracy and obtained 84.3%.
Diena Dwidienawati, Deborah Audreylia Kusuma, Herlin Kartini, Jesslyn Johanna Wijaya,
Volume 33, Issue 2 (6-2022)
Abstract
The Coronavirus (Covid-19) has become a threat to the world. The government has implemented various policies to prevent its spread, such as self-isolation, social distancing, etc. The regulation turned out to pose a big threat to many companies, especially in the retail sector. To survive in a pandemic, the company needs to ensure brand loyalty as an important factor in maintaining company stability. This study aims to determine the effect of Corporate Social Responsibility, Service Quality, Customer Satisfaction on Brand Loyalty, and the effect of Service Quality on Customer Satisfaction in coffee shop brands from the US. The method used is descriptive quantitative with 100 respondents from Greater Jakarta. The findings show that Corporate Social Responsibility and Service Quality do not directly influence Brand Loyalty, while Customer Satisfaction has a positive and significant relationship with Brand Loyalty. Meanwhile, Service Quality affects Customer Satisfaction positively and significantly.
Dyah Gandasari, Diena Dwidienawati, David Tjahjana, Mochamad Sugiarto, M Faisal,
Volume 33, Issue 2 (6-2022)
Abstract
The dynamic among farmer institutions has essential problems to be addressed, especially regarding the pattern and process of communication interactions developing farmer institutions. Therefore, an assembly of agribusiness information within the communication network of the farmer group is of primary interest for our study. This study aims to analyze the agribusiness network structure of beef cattle farmer groups in Subang Regency, West Java, Indonesia. The Social Network Analysis (SNA) used for discovering communication network structure. Data was collected through interviews using a questionnaire. The census method was used for the sampling technique and UCINET 6 used to analyze the data. The results of the study show: 1) The degree centrality and net draw illustrate the head of farmer groups still plays a role as a source of information for their members even if members can access 1-3 other sources, 2) The closeness centrality average is still high and approaching its maximum. The limitation of this study is that only in quantitative approach. Therefore, it is recommended to conduct further research in a qualitative approach to further analyze the roles play in the networks that can be considered in increasing group social capital.
Ahmed Saeed Awadh Ali Alrashdi1, Nurul Zarirah Binti Nizam,
Volume 33, Issue 3 (9-2022)
Abstract
The main objective of this study is to determine factors influencing the adoption and impact of online social networks use in terms of performance among students within public universities in Abu Dhabi. Although various limitations exist, the findings have been encouraging, as it has managed to shed some lights on new variables affecting the use of online social networks. This study proposed an extended model of the Unified Theory of Acceptance & use of Technology (UTAUT) and found that five variables play an important role to determine the performance impact of online social networks namely performance expectancy, effort expectancy, social influence, facilitating conditions, and actual usage, in addition to the significant moderation role that service quality plays in the model which was significant on two relationships and insignificant in the remaining two. The findings of this study can provide policymakers with important insights on how to more successfully incorporate online social networks to improve students’ performance and public university services, and how to encourage the management to ensure that students are more likely to utilize new technologies and thereby enabling better learning outcome, wider reach of services, gives students more control over their daily tasks and enhances their performance.
Mehwish Adeeb,
Volume 33, Issue 3 (9-2022)
Abstract
The purpose behind this research work is to develop a GREEN performance metrics for wider firms. The metrics for wider firms is developed by using the nine independent and one dependent variable. The five independent variables include job position, recruitment, selection, training and development, performance assessment, rewards, team formation, organizational culture management and organizational learning management. The dependent variable is perceived performance. The instruments that are used for data collection include questionnaires and survey forms. The sample size is 200 out of which actual respondents are 150. The SPSS is used for analysis. Regression analysis, descriptive analysis and correlation are run to find the relation and impact of one variable over other and with perceived performance. Findings include the development of GREEN performance metrics for wider firms. The future studies may include the formation of green teams, employee motivation to be green, GHRM in services sector, GHRM and organizational culture management etc.
Vichayanan Rattanawiboonsom,
Volume 33, Issue 3 (9-2022)
Abstract
This research aimed 1) to study the effects of the factors influencing the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand; 2) to study the development of a model for factors affecting the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand; and 3) to study the guideline and development of the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand. The study employed the quantitative research methodology and the statistical devices of percentage and Structural Equation Modeling (SEM). The population and sample group comprised executives in the ceramic industry in Thailand.
The findings revealed the following: 1) The factors concerning knowledge of information technology, warehouse management and digital system positively affected the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand at the statistically significant levels of β = 0.324, 0.163 and 0.271 respectively. The antecedent variables which had Direct Effect (DE) and Total Effect (TE) on the latent variable of the performance of warehouse management to increase the competitiveness were 1. knowledge of information technology (DE = 0.324, and TE = 0.324), 2. warehouse management (DE = 0.271, and TE = 0.271), and 3. digital system (DE = 0.163, and TE = 0.163) respectively; 2) The results of the study of the guideline and development of a model for factors affecting the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand revealed that the factors concerning knowledge of information technology, warehouse management and digital system were well-fitted with the empirical data at statistically significant levels; and 3) The factors concerning knowledge of information technology, warehouse management and digital system contributed to the performance of warehouse management to increase the competitiveness of the ceramic industry in Thailand in terms of speed, time and customer service.
Hardijanto Saroso, Diena Dwidienawati, David Tjahjana, Dyah Gandasari, M Faisal,
Volume 33, Issue 3 (9-2022)
Abstract
This research paper aims to examine the impact of the COVID-19 pandemic on consumer behaviour and the strategic adjustment implemented by small to medium-size businesses. Consumer behaviour has been altered. It has made organizations react to survive. To understand emerging consumer behaviour, and how organizations mitigate the changes in the environment, a qualitative study on small to medium size business owners was conducted in October-November 2020. An intensive 60-minute, semi-structured interview was conducted with 23 business owners in Jakarta and its surrounding cities. The findings revealed that there are positive and negative impacts of the COVID-19 pandemic on business depending on the industry type. The type of industry also influenced the scale of the effect. Regardless of the impact, most business owners were optimistic about their businesses surviving. Consumer behaviour changed to involving less human interaction, for example going online, and people became more cost-conscious. Business owners mitigated the change with a change in the type of products offered, offering promotions or price reductions and online access. From the business owners' perspective, some of the new behaviour will remain after the pandemic, whilst others will revert to the old behaviour. Those that offer convenience and simplicity will stay.
Hainnuraqma Rahim, Hamidah Irpan, Mohamed Saladin Abdul Rasool,
Volume 33, Issue 3 (9-2022)
Abstract
Being sharia compliant is a very important matter for Muslims especially the Millennial generation particularly in obtaining halal foods. In the context product and service selection and purchase, the Millennial generation is considered to have high capability in the aspect of accessing rapid information through the social media. In effect, the Millennial Muslims behavior is enviasaged to enhance the consumption of halal products and services in Malaysia due to their purchasing power. Thus, the main aim of the present study is to examine the purchasing behaviour of Millennial Muslims towards halals products. A dataset comprising of 403 respondents were employed using Structural Equation Modeling-Partial Least Square (SEM-PLS). This cross-section study identified specific factors such as social media influencers, understanding of halal concept and perception of halal logo. Specifically, attitude plays the role of mediator in this study. Thus, this study suggests that the purchase of halal food is influenced by these factors. Hence, producers should strategize their marketing communication efforts on various social networking sites to strengthen consumers awareness on the values of halal products.
Abd Alwahed Dagestani,
Volume 33, Issue 3 (9-2022)
Abstract
The Coronavirus Disease 2019 (COVID-19) epidemic in China has been controlled periodically. However, we are now in a period of rapid outbreaks worldwide, the situation of epidemic prevention and control in all countries is still tense. Due to the COVID-19 outbreak, objectively, international trade has a higher risk of infection. At this stage, the prevention and control of the epidemic have become a responsibility for the countries worldwide. This study aims to measure the potential economic impacts of COVID-19 on trade volume between China and One Belt One Road countries (OBOR). The economic impacts assessments of (COVID-19) on trade are based on a Gravity model and speed of convergence (SC) method by changes in trading behavior and cost of (COVID -19) outbreak by in affected countries. The results reveal that potential trade values between China and European Union (EU) will drop by 11.5%, China and East Asia and Pacific (EAP) by 6,7%, China and the Middle East and North Africa (MENA) by 8.9%, China and South Asia (SAR) by15%, China and Europe and Central Asia (ECA) by 9%.
Budi Suprapto, Paulus Dian Wicaksana, Mohd Fazli Mohd Sam ,
Volume 33, Issue 3 (9-2022)
Abstract
Technological developments are very rapidly making changes in consumer behaviour where there is a transition from offline transactions to online in Yogyakarta. The purpose of this study is to evaluate and validate the influence of online trust and the factors that influence it is e-commerce knowledge, perceived reputation, perceived risk, perceived technology, prior purchase experience, to the intention of purchasing online. This study also examines the effect of perceived technology and prior purchase experience on online purchase intentions. Respondents in this study are about 260 respondents. Respondents must be domiciled in Yogyakarta and have conducted online transactions in the last 3 months. Analysis of data on research using Smart PLS 3.0. The test of measurement model that is convergent validity, discriminant validity, and internal consistency reliability is done to ensure the validity and reliability of the questionnaire and then tested the structural model to test the hypothesis, besides the fit model, predictive relevance and effect size of each latent variable. This study found that perceived risk is the most influencing factor of consumer confidence followed by prior purchase experience, perceived technology, and perceived reputation. The study also found that perceived technology and trusts influence online purchase intentions. While e-commerce knowledge has no effect on consumer trust and prior purchase experience has no effect on the intention of purchasing online.
Mazlan Awang, Mohd Razif Idris, Zuriyati Zakaria,
Volume 33, Issue 3 (9-2022)
Abstract
This paper presents an exploratory study on the development of lean readiness index for Malaysian hospitals. A questionnaire survey were obtained from 118 public hospitals and lean readiness model was developed using structural equation modeling (SEM) and the relevant constructs were identified using confirmatory factor analysis. The Lean Readiness Index (LRI) is formulated and a ruler in associate with the LRI were proposed as to meet the objective of the study. The finding to emerge from this study is that only 10.1% of Malaysian public hospitals have ‘good’ readiness status. The study also revealed the overall LRI’s value is 0.617 and, the majority of the hospitals were categorize as having ‘fair’ and ‘weak’ readiness status. The result indicated that training had the strongest association towards lean readiness while communication is the least. This study had revealed the readiness level for lean implementation in Malaysian public hospitals and proposed the required foundation that need to be enhanced before implementing lean.
Ayesha Sharif, Zuraidah Sulaiman, Asim Ali Chaudhry,
Volume 33, Issue 3 (9-2022)
Abstract
Brand loyalty is driven by share, comments, online review, like, and dislike on the social media platform of specific brands. The study empirically assessed with the influence of the dimensions of brand's personality as a moderator on SMBC and brand loyalty among customers’ popular fashion brands. The Aaker Brand Personality Scale used to measure the personality of fashion brands. Online brand personality can exist in the same way as offline brands. This means that social media has brand personalities, and these can influence consumer perceptions in different ways. This research utilized a quantitative approach in which questionnaires was distributed to SMBC users as the research population. The research was performed Structural Equation Modeling using IBM SPSS Statistics 23 software and Smart PLS 3.2.9 to analyze the data. The findings were help brands to make marketing plans to influence any type of unsatisfactory situations.
Haniza Hashim, Nur Baiti Shafee, Siti Nurul Huda Mohd, Shadia Suhaimi,
Volume 33, Issue 4 (12-2022)
Abstract
Healthy food can be perceived by looking at the label and packaging of the healthy food. Nutrition Claims and Nutrition Information printed as a labels and packaging of the healthy food. Nutrition Claims such as "Cholesterol Free" normally presented at the front of the healthy foods' package while nutrition information presented in a table with detailed information and printed at the back of the healthy foods' package. Previous researchers indicated that nutrition claims tends to be well received by consumers (Grunert, Wills & Fernandez-Celemin, 2010) compared to nutrition information. It seems that nutrition information seldom be useful to the customers. This is because nutrition information difficult to understand. However, nutrition information shows more detailed information regarding the product. Both nutrition claim and nutrition information printed as a label of the healthy foods' packaging. Besides that, colour of the packaging also plays an important role of the consumer perceptions towards healthy product. Label and packaging plays an important role for consumers’ perception. Nutrition information and nutrition claim that are appeared at the label and the colour of the packaging can model the consumers' perception on healthy food. This study will investigate the importance of nutrition information, nutrition claim and colour of the label and packaging towards consumers' perception on healthy foods. Data and survey will be conducted at Melaka. This study will use quantitative method and will conclude the independent variables that has significant influence towards consumers perception.
Adnan Ali Hassan Alhosani, Fazal Ur Rehman, Fadillah Ismail,
Volume 33, Issue 4 (12-2022)
Abstract
This study intends to evaluate the mediating role of employees performance in the relationship between delegation of authority, organizational functionality, and the decision making process among the employees of police department at Dubai. The study has collected data in the various police stations at Dubai from 380 employees through questionnaires based survey using random sampling technique. The study noted that employees performance has mediating role between the delegation of authority, organizational functionality, and the decision making process among the police employees at Dubai. The results of this research contributed substantially to the current body of knowledge in the domain of delegation of authority in Arab context. The novelty of this study stem from the reality that the issues and problems of power delegation in Dubai police department was assessed in terms of decision-making process.
Rawdha Ghareeb, Rashied Darwish Almansooori, Fadillah Ismail,
Volume 34, Issue 1 (3-2023)
Abstract
Abu Dhabi National Oil Company (ADNOC), being a significant role player the actualization of the Abu Dhabi Economic Vision of 2030, would need to improve and upgrade its performance level and its competitive advantage during this Covid-19 pandemic period. Therefore, this study examined the effects of technology management, innovation and training on organization performance in ADNOC United Arab Emirates (UAE). It also examined the moderating effect of work environment on the relationships between technology management and organizational performance, between innovation and organizational performance, and between training and organizational performance. This study has followed the quantitative method to collect the data and smart-PLS has been used to examine the nexus among the understudy variables. The overall findings signified a positive effect of technology management, innovation, and training on organization performance in ADNOC UAE. The result also indicates the moderating effect of working environment on the relationship between technology management and organizational performance. The overall findings imply that technology management, training and innovation are crucial drivers of enhanced performance, but conducive environment should be ensured to stimulate endured performance.
Javad Behnamian, A. Panahi,
Volume 34, Issue 2 (6-2023)
Abstract
Given the increasing human need for health systems and the costs of using such systems, the problem of optimizing health-related systems has attracted the attention of many researchers. One of the most critical cases in this area is the operating room scheduling. Much of the cost of health systems is related to operating room costs. Therefore, planning and scheduling of operating rooms can play an essential role in increasing the efficiency of health systems as well as reducing costs. Given the uncertain factors involved in such matters, attention to uncertainty in this problem is one of the most critical factors in the results. In this study, the problem of the daily scheduling of the operating room with uncertain surgical time was investigated. For minimizing overhead costs and maximizing the number of surgeries to reduce patients' waiting time, after introducing a mathematical model, a chance-constrained programming approach is used to deal with its uncertainty. In this study, also, a harmony search algorithm is proposed to solve the model because of its NP-Hardness. By performing the numerical analysis and comparing the presented algorithm result with a genetic algorithm, the results show that the proposed algorithm has a better performance.
Seyed Mahdi Aghazadeh, Hamid Farvaresh,
Volume 34, Issue 4 (12-2023)
Abstract
The growing online marketplace has opened a plethora of opportunities for businesses across various industries. Manufacturers, seeking to bypass intermediaries and directly reach end-users, have been increasingly adopting online sales channels in addition to their traditional retail sales. A key challenge, however, lies in determining optimal pricing strategies and advertising investments for both manufacturers and retailers while considering various constraints. This study contemplates a two-echelon supply chain model involving one manufacturer and two retailers. The manufacturer sells its product both through retailers (offline channel) and directly to consumers via an online channel. The model features both global and local advertising. The influence of global advertising is realized through distinct advertising channels, each with a unique impact on demand. To further motivate retailers, the manufacturer contributes to the cost of local advertising. In response to these challenges, this research formulates a bi-level model and employs the concept of Variational Inequalities to solve it. The model also contends with production capacity and budget constraints, leading to a Generalized Nash-Stackelberg game. The validity of the model and the efficacy of the solution method are assessed through numerical experiments performed. Finally, a set of valuable managerial insights are provided.
Mansour Abedian, Amirhossein Karimpour, Morteza Pourgharibshahi, Atefeh Amindoust,
Volume 35, Issue 2 (6-2024)
Abstract
The area coverage of machines on the production line to address the scheduling and routing problem of autonomous guided vehicles (AGV) is an innovative way to improve productivity in manufacturing enterprises. This paper proposed a new model for the optimal area coverage of machines in the production line by applying a single AGV to minimize both the transfer costs and the number of breakpoints of AGV. One of the unique advantages of the area coverage employed in the present study is that it minimizes transfer costs and breakpoints, and makes it possible to provide service for several machines simultaneously since the underlying assumption was finding a path to ensure that every point in a given workspace is covered at least once. Since rail AGV is used in this study, AGV can only pass horizontal and vertical distances in the production line. The reversal of the AGV path in vertical and horizontal distances implies failure and breakpoint in the present paper. The simulation results confirm the feasibility of the proposed method.
Amin Amini, Alireza Alinezhad, Davood Gharakhani,
Volume 35, Issue 2 (6-2024)
Abstract
The selection of a sustainable supplier is a multi-criteria decision-making issue that covers a range of criteria (quantitative-qualitative). Selecting the most eco-friendly suppliers requires balancing tangible and intangible elements that may be out of sync. The problem gets more complicated when volume discounts are taken into account, as the buyer needs to decide between two issues: 1) What are the best sustainable suppliers? 2) Which amount needs to be bought from each of the selected eco-friendly suppliers? In current study a combined attitude of best-worst method (BWM) ameliorated via multi-objective mixed integer programming (MOMIP) and rough sets theory is developed. The aim of this work is to contemporaneously ascertain the order quantity allocated to these suppliers in the case of multiple sourcing, multiple products with multiple criteria and with capacity constraints of suppliers and the number of suppliers to employ. In this situation, price reductions are offered by suppliers based on add up commerce volume, not on the amount or assortment of items acquired from them. Finally, a solution approach is proposed to solve the multi-objective model, and the model is demonstrated using a case study in Iran Khodro Company (IKCO). The results indicate that ISACO is the most sustainable supplier and the most orders are assigned to this supplier.
Khalil Abbal, Mohammed El Amrani, Youssef Benadada,
Volume 36, Issue 1 (3-2025)
Abstract
In this paper, we study the Multi-Level Multi-Capacitated Facility Location Problem (ML-MCLP), which was first introduced in 2022 as a double generalization of the Capacitated P-Median Problem (CPMP). The objective of this problem is to determine the optimal facilities to open at each level, and their appropriate capacities to meet customer demands, while minimizing assignment costs. We adopt the Benders Decomposition exact approach, complemented by modern acceleration techniques to enhance convergence speed. The performance of the accelerated BD algorithm is evaluated using a dataset generated based on justified difficulty criteria and data generation methods from the literature. The results showed that hybridization of acceleration techniques, such as subproblem reformulation and cut selection, significantly improves convergence. However, decomposition-based technique proved to be inefficient, particularly due to the structure of the ML-MCLP, and was therefore excluded.
