Showing 660 results for Type of Study: Research
Seyed Erfan Mohammadi, Emran Mohammadi, Ahmad Makui, Kamran Shahanaghi,
Volume 34, Issue 4 (12-2023)
Abstract
Since 1952, when the mean-variance model of Markowitz introduced as a basic framework for modern portfolio theory, some researchers have been trying to add new dimensions to this model. However, most of them have neglected the nature of decision making in such situations and have focused only on adding non-fundamental and thematic dimensions such as considering social responsibilities and green industries. Due to the nature of stock market, the decisions made in this sector are influenced by two different parameters: (1) analyzing past trends and (2) predicting future developments. The former is derived objectively based on historical data that is available to everyone while the latter is achieved subjectively based on inside-information that is only available to the investor. Naturally, due to differences in the origin of their creation the bridge between these two types of analysis in order to optimize the portfolio will be a phenomenon called "ambiguity". Hence, in this paper, we revisited Markowitz's model and proposed a modification that allow incorporating not only return and risk but also incorporate ambiguity into the investment decision making process. Finally, in order to demonstrate how the proposed model can be applied in practice, it is implemented in Tehran Stock Exchange (TSE) and the experimental results are examined. From the experimental results, we can extract that the proposed model is more comprehensive than Markowitz's model and has greater ability to cover the conditions of the stock market.
Nur Iftitah, Qurtubi Qurtubi, Muchamad Sugarindra,
Volume 34, Issue 4 (12-2023)
Abstract
This research aims to determine the scope and pattern of research and understand trends in class-based storage research, to deliver the latest research on the topic of class-based storage for future studies. This study is based on data derived from several journal publications, limited only to publication years of 2012 to 2023. Harzing's Publish or Perish and VOSviewer software were used in data collection. Therefore, 980 articles were obtained based on keywords and processed by using bibliometric analysis. From the results of bibliometric research on the topic of class-based storage, identification of trends and patterns on research growth is obtained, analyzing renewal, obsolescence, and distribution of references, estimating productivity, author, year of publication, most-contributed publishers, and collaboration among authors who discussing interrelated topics. This research shows that in bibliometric studies in class-based storage literature, by involving analysis through keywords contained in titles and abstracts, as well as various analyses of years of publication, most publications are able to deepen and expand the literature in the previous class-based storage-related research. So that the findings in terms of assessment techniques and relationships can be used as information for future researchers in such fields of study. Research on bibliometrics is the main reference, especially in the arrangement of facility layout and warehouse management. The originality provided by this study lies in the presentation of differences and similarities between current researchers and previous researchers and the processing of publication databases based on class-based storage journals. So that all published information on the topic of class-based storage in the last 10 years (2012-2023) could become a basis and reference for further research.
Hamed Alizadeh, Ali Khavanin, Farahnaz Khajehnasiri, Niloofar Valizadeh, Ali Salehi Sahlabadi,
Volume 34, Issue 4 (12-2023)
Abstract
Background: The lighting of the work environment and its quantitative and qualitative characteristics, such as the intensity of the light and the color temperature, as a physical characteristic, have a great impact on the mental health, behavior and performance of people. The physical factors of the work environment, the personality type and behavioral characteristics of people are effective in their efficiency and productivity. Methods: The current research is an interventional and laboratory research which was done in 2022, 35 male students of Tarbiat Modares University were studied. This study was designed in 3 locations with different lighting systems of LED lamps with color temperature of 3000, 4000 and 5000 degrees Kelvin. Stroop test software was used to check cognitive activities and Neo questionnaire was used to determine personality type. Results: The results showed that the average reaction time when facing the LED lamp with a color temperature of 4000 degrees Kelvin in the group of consonant words was the lowest (average response time 601.22 milliseconds) and at a color temperature of 3000 degrees Kelvin in the group of dissonant words the highest value (average 88. 645 milliseconds). The average number of errors in the group of dissonant words was the highest when faced with a color temperature of 3000 degrees Kelvin (the average number of errors was 10.8), the lowest amount of errors was observed in the group of consonant words at a color temperature of 5000 degrees Kelvin (the average number of errors was 2.71 ). Also, according to the obtained results and checking the interference score of the people, which shows the level of their selective attention, it was found that the average interference score at the color temperature of 3000 degrees Kelvin is the highest (average 6.05) and when faced with the color temperature of 4000 degrees Kelvin The lowest value was (average 4.14). The results of investigating the relationship between cognitive activities and the personality type of the subjects studied at different color temperatures showed that there was a negative and significant correlation between the interference score of the personality type of the subjects at a temperature of 3000 degrees Kelvin (P value = 0.33). Also, by examining this relationship at a color temperature of 5000 degrees Kelvin, it was found that there is a negative and significant correlation between the interference score and the interference time (another parameter affecting selective attention) with the personality type of people (P value = 0.42 and 0.38, respectively). = P value) Conclusions: The results of this study showed that the LED lighting system with high color temperature can be effective on people's cognitive performance by reducing errors and increasing attention and reaction time. In order to improve people's cognitive performance, it is suggested to use lighting system with high color temperature in sensitive places.
Nawar Muneer J. Algthami, Nazimah Hussin,
Volume 34, Issue 4 (12-2023)
Abstract
This study investigates the relationship between family ownership, board composition, and the performance of family businesses, with a focus on unlisted family enterprises. While much attention has been given to studies on listed family firms versus non-family firms, unlisted family businesses play a significant role in economies worldwide. The research used the PRISMA statement 2020 to select relevant articles and employed VOS viewer software for data analysis. The results reveal four significant research areas: interlocking directorates, family ownership, board composition, and performance of unlisted firms. Interlocking directors positively influence the performance of unlisted family firms, and the presence of knowledgeable board directors positively impacts strategic planning decisions. Notably, differences arise between family firms led by the first generation and those by subsequent generations. Independents and affiliates on the board enhance performance when the first generation runs the firm. The findings provide new insights into the role of board directors in the corporate governance of unlisted family businesses.
Muhammad Asim Siddique,
Volume 34, Issue 4 (12-2023)
Abstract
Software testing is the process of assessing the functionality of a software program. The software testing process checks for inaccuracies, gaps and whether the application outcome matches desired expectations before the software is installed and goes into production. Normally in large organizations, the development team allocates a high portion of estimated development time, cost and efficiency for regression testing to assure software testing quality assurance. The quality of developed software relies upon three factors time, efficiency and testing technique used for regression testing. Regression testing is an important component of software testing and maintenance, taking up a significant share of the total testing time, efficiency and resources organizations use in testing techniques. The key to successful regression testing using Test Case Prioritization (TCP), Test case Selection (TCS) and Test Case Minimization (TCM) is maximizing the test cases' effectiveness while considering the limited resources available. Regression testing introduced numerous techniques for (TCP, TCS, TCM) to maximize the efficiency based on Average Percentage Fault Detection (APFD). In recent studies, the TCP and TCS techniques can give the highest APFD score. However, each TCP and TCS approacshow limitations, such as high execution cost, time, efficiency, and lack of information. TCP and TCS approaches that can cover multiple test suite variables (time, cost, efficiency) remained inefficient. Thus, there is a need for a hybrid TCP and TCS technique to be developed to search for the best method that gives a high APFD score while having good coverage of test cases relevant to the cost and execution time to improve efficiency. The proposed hybrid test case selection and prioritization technique will exclude similar & faulty test cases to reduce test size. The proposed hybrid technique has several advantages, including reduced execution time and improved fault detection ability. The proposed hybrid Enhanced Test Case Selection and Prioritization Algorithm ( ETCSA) is a promising approach to select only modified test suites to improve efficiency. However, the efficiency of the proposed technique may depend on the specific criteria for selecting only modified test cases and the software's characteristics. The hybrid technique aims to define an ideal ranking order of test cases, allowing for higher coverage and early fault detection with reduced test suite size. This study reviews TCP and TCS hybrid techniques to reduce testing time, cost and improve efficiency for regression testing. Each TCS and TCP technique in regression testing has identified apparent standards, benefits, and restrictions.
Yulin Wan, Md Nor Khalil Bin, Biyuan Lyu, Wei Feng,
Volume 34, Issue 4 (12-2023)
Abstract
This study aims to conduct a comprehensive analysis of the existing literature on social presence in order to identify significant research works, contribute valuable insights into emerging research areas, and provide an overview of global research trends. The study also aims to assist future researchers in locating relevant information aligned with their research interests. The research employs bibliometric analysis to examine 1962 journal articles published between 1958 and 2022, focusing on various aspects such as publication outputs, co-authorships among authors and affiliated countries, and co-occurrences of author keywords referenced in the Scopus database. Additionally, the study identifies the most active institutions, productive journals, and prolific authors in the field of social presence. Notably, the analysis reveals a consistent increase in cumulative publication numbers from 2014 to 2018, with an annual increment of 100 articles. More than 55% of the total publications originate from researchers based in China and the United States. Moreover, among the top 15 countries, four of their most prolific universities are ranked among the world's top 100 universities. The findings of the bibliometric study highlight that research on social presence predominantly focuses on captivating themes such as e-learning, social media, computer-mediated communication (CMC), and communities of inquiry (CoI). The primary objective of the study is to identify shifts in publication outputs, co-authorships, affiliated countries, and author keywords, thereby unveiling prevailing publication trends within the field of social presence. The scope of the study primarily centres on the identification of trends through bibliometric analysis. The study's findings indicate an upward trend in the publication of articles concerning social presence, which is expected to continue. Furthermore, co-authorship and co-occurrence investigations are undertaken to assess leading countries and frequently employed keywords in the literature.
Atallah Alsharah,
Volume 34, Issue 4 (12-2023)
Abstract
In developing countries, Human Resources (HR) is considered one of the most important factors that lead to the improvement and successful organization of employee performance. Human Resources Management (HRM) practices play an effective role in this performance, as this is evident through the impact of talent management on HRM practices, which leads to increasing and improving the production process for employees and making them possess high quality. Given the importance of this topic, the current study aims to determine the impact of the moderating role of Talent Management (TM) on HRM practices, which include good training, recruitment, performance evaluation, and remuneration system, on the institutional performance (IP) of Jordanian pharmaceutical companies. The study population includes employees of 13 pharmaceutical companies listed on the Amman Stock Exchange in Jordan. A random sample of 250 employees was taken. An electronic questionnaire was sent to the employees via e-mail. The 216 valid questionnaires were found, and the response rate was 86%. Two approaches, descriptive and analytical, were used due to their suitability to the nature of this work. The results obtained indicated that there is a significant positive impact of HRM practices (recruitment, training, performance evaluation, and remuneration system) on IP in Jordanian pharmaceutical companies. In addition, it was found that there is a positive impact of the moderating role of TM on the relationship between HRM practices and IP in these companies. Our study recommends that HRM practices can be used as strategic tools to align with long-term goals, invest in high-potential employees, provide performance growth opportunities, and create a collaborative work environment.
Hamed Nozari, Maryam Rahmaty,
Volume 34, Issue 4 (12-2023)
Abstract
In this paper, the modeling of a make-to-order problem considering the order queue system under the robust fuzzy programming method is discussed. Considering the importance of timely delivery of ideal demand, a four-level model of suppliers, production centers, distribution centers, and customers has been designed to reduce total costs. Due to the uncertainty of transportation costs and ideal demand, the robust fuzzy programming method is used to control the model. The analysis of different sample problems with the League Championship Algorithm (LCA), Particle Swarm Optimization (PSO), and Salp Swarm Algorithm (SSA) methods shows that with the increase in the uncertainty rate, the amount of ideal demand has increased, and this has led to an increase in total costs. On the other hand, with the increase of the stability coefficients of the model, contrary to the reduction of the shortage costs, the total costs of the model have increased due to transportation. Also, the analysis showed that with the increase in the number of servers in the production and distribution centers, the average waiting time for customers' order queues has decreased. By reducing the waiting time, the total delivery time of customer demand decreases, and the amount of actual demand increases. On the other hand, due to the lack of significant difference between the Objective Function Value (OBF) averages among the solution methods, they were prioritized, and SSA was recognized as an efficient algorithm. By implementing the model in a real case study in Iran for electronic components, it was observed that 4 areas of the Tehran metropolis (8-18-16-22) were selected as actual distribution centers. Also, the costs of the whole model were investigated in the case study and the results show the high efficiency of the solution methods in solving the make-to-order supply chain problem.
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.
Ali Mostafaeipour, Ghasem Ghorbannia Ganji, Hasan Hosseini-Nasab, Ahmad Sadegheih,
Volume 34, Issue 4 (12-2023)
Abstract
Compared to coal and other fossil fuels, renewable energy (RE) sources emit significantly less carbon dioxide (CO2). In this sense, switching to such sources brings many positive effects to the environment through mitigating climate change, so the terms green energy and clean energy, have been derived from these constructive environmental impacts. Given the utmost importance of RE development, the primary objective of this study was to identify and prioritize the effective RE development strategies in Mazandaran Province, Iran, using different methods, including the Strengths, Weaknesses, Opportunities, and Threats (SWOT) analysis, along with other decision-making techniques. Recruiting a team of 11 industrial and academic experts, the strategies to implement in this region were developed in line with the RE development plans. For this purpose, the Multi-Criteria Decision-Making (MCDM) methodologies were utilized within the gray fuzzy environment to manage the existing uncertainties. The Gray-Additive Ratio Assessment System (Gray ARAS) was further applied to rank the main factors at each level. According to the SWOT analysis and the Stepwise Weight Assessment Ratio Analysis (SWARA) outcomes, among the major factors shaping RE development in Mazandaran Province, Iran, the economic criterion, with the final weight of 0.24, was ranked first; and then the geographical and environmental criteria, having the final weights of 0.23 and 0.19, were put in the second and third places, respectively. In this regard, appropriate location, with the final weight of 0.226, was ranked first; and subsequently pollution reduction and energy production costs, receiving the final weights of 0.103 and 0.094, were the second and third sub-criteria, respectively. As a final point, the validation results based on the Gray-Weighted Aggregated Sum Product Assessment (Gray-WASPAS) and ranking obtained through the Gray-ARAS were confirmed.
Iwa Kustiyawan, Mas Rahman Roestan, Catur Riani,
Volume 34, Issue 4 (12-2023)
Abstract
This research aims to identify the initial OEE (Overall Equipment Efficiency) values on automated packaging machines with a 2d barcode track and trace system. Quantitative research methods used to obtain the OEE value, analysis of factors affecting the OEE values, developing a strategy to make improvements, and evaluate these strategies on the level of machine productivity. The importance of the subject lies in the need to improve the efficiency and productivity of pharmaceutical packaging processes. The pharmaceutical industry is facing increasing pressure to optimize operations and reduce waste. Implementing effective performance measurement tools such as Overall Equipment Effectiveness (OEE) can help identify areas for improvement and enhance productivity. This study found that the track-and-trace system was below the company's standard, indicating room for improvement. Then, countermeasures were implemented to increase productivity and machine effectiveness, and the initial OEE value of the automated packaging machine with 2D barcodes improved. Thus, this study demonstrated the effectiveness of the proposed framework in evaluating and improving OEE in pharmaceutical packaging processes, highlighting the significance of digitalization and automation technologies in enhancing productivity.
Simin Dargahi Darabad, Maryam Izadbakhsh, Seyed Farid Ghannadpour, Siamak Noori, Mohammad Mahdavi Mazdeh,
Volume 35, Issue 1 (3-2024)
Abstract
The construction supply chain is presently the focus of considerable interest among numerous project-related businesses. Strong project management is essential for the effective completion of a project, since restricted budgets and time constraints are considered for each project. The research uses multi-objective linear programming to create a mathematical model of the building supply chain. The primary aims of the present investigation are to limit the expenses associated with logistics and to diminish the release of greenhouse gases caused by transportation. Given the reality of managing several projects concurrently, the model provided comprises a network of projects. Following the completion of each project, an inspection is arranged to assess its level of success. Estimating the costs of a project relies on several variables. In reality, there are always uncertainties highlighted in several studies about the uncertainty of cost and time parameters. This research incorporates many characteristics concurrently to simulate real-world settings and address the issue of uncertainty. The expression of uncertainty for all costs, activity length, inspection, supplier capacity, and resource demand are represented by triangular fuzzy numbers. Ultimately, the precision of the model's performance has been verified using a numerical illustration.
Malihe Masoumi, Javad Behnamian,
Volume 35, Issue 1 (3-2024)
Abstract
Due to the many applications of the travelling salesman problem, solving this problem has been considered by many researchers. One of the subsets of the travelling salesman problem is the metric travelling salesman problem in which a triangular inequality is observed. This is a crucial problem in combinatorial optimization as it is used as a standard problem as a basis for proving complexity or providing solutions to other problems in this class. The solution is used usually in logistics, manufacturing and other areas for cost minimization. Since this is an NP-hard problem, heuristic and meta-heuristic algorithms seek near-optimal solutions in polynomial time as numerical solutions. For this purpose, in this paper, a heuristic algorithm based on the minimum spanning tree is presented to solve this problem. Then, by generating 20 instances, the efficiency of the proposed algorithm was compared with one of the most famous algorithms for solving the travelling salesman problem, namely the nearest neighbour algorithm and the ant colony optimization algorithm. The results show that the proposed algorithm has good convergence to the optimal solution. In general, the proposed algorithm has a balance between runtime and the solution found compared to the other two algorithms. So the nearest neighbour algorithm has a very good runtime to reach the solution but did not have the necessary convergence to the optimal solution, and vice versa, the ant colony algorithm converges very well to the optimal solution, but, its runtime solution is very longer than the proposed algorithm.
Rabie Mosaad Rabie, Hegazy Zaher, Naglaa Ragaa Saied, Heba Sayed,
Volume 35, Issue 1 (3-2024)
Abstract
Harris Hawks Optimization (HHO) algorithm, which is a new metaheuristic algorithm that has shown promising results in comparison to other optimization methods. The surprise pounce is a cooperative behavior and chasing style exhibited by Harris' Hawks in nature. To address the limitations of HHO, specifically its susceptibility to local optima and lack of population diversity, a modified version called Modified Harris Hawks Optimization (MHHO) is proposed for solving global optimization problems. A mutation-selection approach is utilized in the proposed Modified Harris Hawks Optimization (MHHO) algorithm. Through systematic experiments conducted on 23 benchmark functions, the results have demonstrated that the MHHO algorithm offers a more reliable solution compared to other established algorithms. The MHHO algorithm exhibits superior performance to the basic HHO, as evidenced by its superior average values and standard deviations. Additionally, it achieves the smallest average values among other algorithms while also improving the convergence speed. The experiments demonstrate competitive results compared to other meta-heuristic algorithms, which provide evidence that MHHO outperforms others in terms of optimization performance.
Sunday Elijah, Hanny Zurina Hamzah, Law Siong Hook, Shivee Ranjanee Kaliappan,
Volume 35, Issue 1 (3-2024)
Abstract
This article analyses what determines remittance inflows into Malaysia. Using Autoregressive distributive lag (ARDL) approach, the study used time-series data for the period 1987-2018. The study the validated theory that says remittance inflows ought to be encouraged through determinants such as real wages, inflation, financial development, exchange rate among others. Variables like exchange rate, inflation, gross domestic product growth, financial development and real wages significantly determine the remittance received into Malaysia. Precisely, inflation and real wages significantly impacted and positively encouraged remittance inflows into Malaysia from abroad. On the other hand, remittance inflows reacted negatively to gross domestic products growth, exchange rate and financial development. Furthermore, the significance of the determinants differs. Precisely, real wages happen to be additionally responsive in comparison to inflation and the reason is that its elasticity is greater. In addition, both inflation and real wages have great impact in Malaysia. This study recommends that the determinants of migrants’ remittances in the country should be given attention which will strongly aid in employing remittances for the reduction of poverty, rising investment at the national level and therefore, aid in boosting growth and enhancing sustainable development to Malaysia.
Amirmohammad Larni-Fooeik, Hossein Ghanbari, Seyed Jafar Sadjadi, Emran Mohammadi,
Volume 35, Issue 1 (3-2024)
Abstract
In the ever-evolving realm of finance, investors have a myriad of strategies at their disposal to effectively and cleverly allocate their wealth in the expansive financial market. Among these strategies, portfolio optimization emerges as a prominent approach used by individuals seeking to mitigate the inherent risks that accompany investments. Portfolio optimization entails the selection of the optimal combination of securities and their proportions to achieve lower risk and higher return. To delve deeper into the decision-making process of investors and assess the impact of psychology on their choices, behavioral finance biases can be introduced into the portfolio optimization model. One such bias is regret, which refers to the feeling of remorse that can induce hesitation in making significant decisions and avoiding actions that may lead to unfavorable investment outcomes. It is not uncommon for investors to hold onto losing investments for extended periods, reluctant to acknowledge mistakes and accept losses due to this behavioral tendency. Interestingly, in their quest to sidestep regret, investors may inadvertently overlook potential opportunities. This research article aims to undertake an in-depth examination of 41 publications from the past two decades, providing a comprehensive review of the models and applications proposed for the regret approach in portfolio optimization. The study categorizes these methods into accurate and approximate models, scrutinizing their respective timeframes and exploring additional constraints that are considered. Utilizing this article will provide investors with insights into the latest research advancements in the realm of regret, familiarize them with influential authors in the field, and offer a glimpse into the future direction of this area of study. The extensive review findings indicate a growth in the adoption of the regret approach in the past few years and its advancements in portfolio optimization.
Che Hafizan Che Hassan, Zainura Zainon Noor, Azmi Aris, Norelyza Hussein, Nur Syamimi Zaidi, Nor Zaiha Arman, Muhammad Azmi,
Volume 35, Issue 1 (3-2024)
Abstract
Life cycle assessment (LCA) is a valuable tool not only for analyzing the environmental impact of a product but also for assisting in early-stage product development before incurring scaling-up costs. When validating a new process or project, it may be constrained to align with existing regulations or standards. Therefore, combining LCA with other applicable standards is essential to demonstrate the project's feasibility. In this regard, the water quality index (WQI) and Water Exploitation Index (WEI) provide additional information that reflects the overall water quality at a specific location and time. The objective of this study is to utilize the LCA framework in conjunction with the Malaysia WQI and WEI to protect the water quantity and water quality of the river. A negative change in the WQI score indicates that the current effluent from the process is degrading the river's classification, rendering it undesirable and necessitating a reduction in concentration. The findings demonstrate that the method for determining effluent requirements for a water treatment system is straightforward and replicable. Such an approach could be employed, for example, in an environmental impact analysis of a project to verify its viability.
Welly Sugianto, Reazul Haq Abdul Haq, Mohd Nasrull Bin Abdol Rahman,
Volume 35, Issue 1 (3-2024)
Abstract
The automobile workshop queue system has been optimized using various approaches, such as queuing theory, simulation, and probability. The utilization of response surface methodology (RSM) for optimizing automobile workshop queue systems is not yet established. The utilization of RSM with direct observation enables the detection of patterns of correlations between variables and responses, which are then represented through mathematical equations. The optimization process involves numerous factors that impact queue performance, which can be categorized into two parts. The number of servers, number of phases, number of workers, worker experience, and layout are classified in inner design. This study examines the relationship between two components of the outer design, specifically the arrival rate and the interarrival time. The responses analyzed are queue cost, service time, average customer waiting time, and number of customers. The findings indicate that queue costs are not reliable for establishing the optimum value due to the significant impact of the cost structure on the structure of the optimal location. This study discovered that the number of leaving customers is related to queue costs and is relevant in selecting the optimal point. This study also formulates mathematical equations for predicting the optimal point. This study emphasizes the necessity for further investigation to uncover alternative mathematical equations that can precisely predict the optimal conditions for various types of services.
Atallah Alsharah,
Volume 35, Issue 1 (3-2024)
Abstract
Green human resources management (GHRM) represents the process of generalizing and incorporating various environmental practices in the field of HR policy and is considered one of the most important elements of supporting sustainable development. Therefore, companies today must flexibly determine pro-environmental HR practices and the extent of their impact on sustainable development. This study aimed to determine GHRM practices for Jordanian service companies listed on the Amman Stock Exchange to promote sustainable development. The study data was collected using the analytical and descriptive methodology. A random sample was selected including 383 administrative employees in 139 Jordanian service companies. Data were collected using an electronic questionnaire and analyzed using the Statistical Package for the Social Sciences (SPSS). The statistical results showed that there is a strong positive relationship to the impact of GHRM in promoting sustainable development for Jordanian service companies. Based on the results, the study recommended the necessity of service companies adopting the concept of GHRM and its impact on sustainable development. It also recommended that the organization should actively work to promote constructive transformation within societal institutions and spread knowledge and awareness related to the impact of GHRM on sustainable development and thus call for its advancement.
La Sinaini, S Saptana, Sri Bananiek, Bungati Bungati,
Volume 35, Issue 1 (3-2024)
Abstract
Cashew nuts, a plantation commodity from Indonesia, come with a high economic value. Cashew nut processing enterprises are crucial in elevating the value added, broadening the work field, and enhancing labor absorption. This research provides an analysis of the performance and marketing strategy of micro, small, and medium enterprises (MSMEs) of cashew nut processing in Muna. It was a case study using explorative, descriptive, and qualitative methods and involved an informant, i.e., the owner of CV Hukasari Semesta. Results demonstrated that CV Hukasari Semesta contributed to the household economic sector, especially in espousing the cashew nut supply chain, which consisted of cashew nut farmers as the key material suppliers, village collecting traders, transport workers, transportation entrepreneurs, processing workers, and store employees. In operating the cashew nut processing business, parties concerned applied strategies for staple ingredient procurement, processing process, management, packaging, capital procurement, more labor recruitment, processing technology procurement, product innovation by varying product packaging and flavors, market network expansion by distributing products to supermarkets and retailers, and market segmentation. Additionally, among the marketing strategies to escalate cashew nut processing MSMEs in Muna were improving product innovation by developing more attractive product packaging based on national standards, carrying out well-planned branding, developing digital-based product information and marketing systems, honing processing and marketing labor skills, increasing processing industrial tool technology, and bolstering business capital.
