International Journal of Industrial Engineering and Productional Research
Volume:33 Issue: 3, Sep 2022

Dubai has witnessed the growth of numbers in population and global visitors, which makes it necessary for the city to have an excellent police department to secure all citizens, residents and visitors.  This is necessary for improving Dubai's security and financial condition and cementing the city's importance in the world.  The main objective of this study is to examine the relationship between the delegation of authority, organizational functionality and decision-making process among the employees in Dubai police department UAE.  A total of 380 employees were selected as the study sample using a multistage sampling method. Questionnaires were used in data collection and responses were analysed using partial least squares structural equation modelling (PLS-SEM)  for data analysis. The results showed that the delegation of authority affects decision-making among the target population. Moreover, delegation of authority helps the organisation in achieving the objectives with accordance to the imperative’s factors of organizational functionality of the organisation. 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. From these results some recommendations are also suggested which are quite helpful especially, with regards to the latest global models of contemporary leadership and the latest approaches and methods of modern decision-making.

Non-cancerous prostate lesions such as prostate calcification, prostate enlargement, and prostate inflammation cause too many problems for men’s health. This research proposes a novel approach, a combination of image processing techniques and deep learning methods for classification and segmentation of the prostate in CT-scan images by considering the experienced physicians’ reports.

Due to the various symptoms and nature of these lesions, a three-phases innovative approach has been implemented. In the first phase, using Mask R-CNN, in the second phase, considering the age of each patient and comparison with the standard size of the prostate gland, and finally, using the morphology features, the presence of three common non-cancerous lesions in the prostate gland has investigated.

A hierarchical multitask approach is introduced and the final amount of classification, localization, and segmentation loss is 1%, 1%, and 7%, respectively. Eventually, the overall loss ratio of the model is about 9%.
Originality: In this study, a medical assistant approach is introduced to increase diagnosis process accuracy and reduce error using a real dataset of abdominal and pelvics’ CT scans and the physicians’ reports for each image. A multi-tasks convolutional neural network; also presented to perform localization, classification, and segmentation of the prostate gland in CT scans at the same time.

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.

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.

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.

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%.

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.

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.

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.

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.

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.

Previous studies have reported that trust is the main issue that needs to be resolving. (McKnight & Chervany, 2001). Trust proficiently leads people or organizations to acquire maximized benefits and potentially gives an organization a competitive advantage in markets, communities, and hierarchies (Robbins (2016), Semuel & Chandra (2014). The extent of this study revolves around develop consumer trust in the quality of cosmetic product scope.  Researchers have shown an increased interest in the cosmetics field as the average annual growth in the last twenty years is 4.5% and the rate of growth presume to continue over 3%.   The objectives of this research are to (1) understand factor involves in the process of build consumers’ confidence and trust virtually in offline and online business, (2) to determine the prominent information need to be an underline in marketing strategy, and (3) to understand how trust can affect consumer preference on cosmetics product. This study underlined cosmetic price, cosmetic brand name, and cosmetic country of origin are the prominent information that needs to underline in marketing strategy. Important issues were addressed and recommendations were made for prospect research.

Modeling supply chain planning problems is considered one of the most critical planning issues in Supply Chain Management (SCM). Nowadays, decisions making must be sufficiently sustainable to operate appropriately in a complex and uncertain environment of the market for many years to beyond the next decade. Therefore, making these decisions in the presence of uncertainty is a critical issue, as outlined in many relevant publications over the past two decades. The purpose of this investigation is to model a multilevel supply chain problem and determine the constraints that prevent the flow from performing properly, subject to various sources and types of uncertainty that characterize the flow. Therefore, it attempts to establish a generic model that relies on the stochastic approach. Several studies have been conducted on uncertainty in order to propose an optimal solution to this type of problem. Thus, in this study, we will use the method of "Mixed integer optimization program" which is the basis of the algorithm that will be employed. This inaccuracy of the supply chain is handled by the fuzzy sets. In this paper, we intend to provide a new model for determining optimal planning of tactical and strategical decision-making levels, by building a conceptual model. Therefore, it enables us to model the mathematical programming problem. We investigate in this attempt, attention to solving the mathematical model. So, in the resolution we are going through the algorithm in machine learning, therefore providing as in the end an optimal solution for the planning of production.

Forging Industry supply chain involves various actors and acts as Industry Intermediate providing various products for downstream industrial customers. This study aims to analyze supply chain performance and recommend improvement strategy at forging Industry. This study applied supply chain operation reference (SCOR) and analytical hierarchy process (AHP) to analyze supply chain performance. A SWOT analysis was applied to improve supply chain performance. The data was validated at ABC co. and XYZ co. as two focal company in supply chain operations of forging industry. Supply chain performance measurement at ABC co. show the performance was 99.42% (excellent) and 99.05% (excellent) in 2019 and 2020, respectively. Supply chain performance score at XYZ co. showed 96.60% (good) and 97.52% (good) in 2019 and 2020, respectively. This study has succeeded in formulating efforts to improve the supply chain performance with SWOT analysis that extracted from the performance measurement analysis, field observation and in -depth interview. The suggested strategies were producing quality goods according to domestic market specifications, maintaining good relations with suppliers or outsourcing, improving services using high technology.