Search results

The purpose of this paper is to establish practical guidelines for benchmarking eight total quality management (TQM) practices vital to pharmaceutical companies’ performance. The paper also proposes the use of an analytic total quality index (TQI) as a benchmarking tool and illustrates the importance and effectiveness of this benchmarking methodology by applying it in two comparative studies of three Jordanian pharmaceutical companies.

In order to achieve the above-mentioned purpose, the data were gathered through a questionnaire that was used to evaluate the gap between the ideal and current status of the quality management system and distributed to the quality units from three companies: pharmaceutical manufacturing company, a pharmaceutical manufacturing company working in the same field and a pharmaceutical service providing research services to a pharmaceutical manufacturing companies. And the mean differences between the current and ideal states for the eight critical TQM practices were compared for these two comparative studies using the t-test.

Each of the two comparisons reveals statistically significant differences regarding the perceptions of actual and ideal scores for manufacturing and service companies on five out of eight critical factors and, on two out of eight critical factors for manufacturing and manufacturing companies.

The pharmaceutical companies, regardless of whether they are manufacturing or service company, can adopt benchmarking techniques which were applied in this case study to improve their performance and their product/service quality.

The consequences of this research can support organization managers and policy makers in effectively benchmarking the identified TQM practices in their organizations using the proposed TQI benchmarking tool.

The aim of this paper is to study and empirically test the relationship between employees' perceptions of the two motivation-enhancing human resource management (HRM) practices of reward and performance appraisal and both incremental and radical innovation. The paper examines whether innovative work behaviour (IWB) mediates the hypothesised relationship.

Data were collected from 313 unit managers in manufacturing, pharmaceutical and technology companies in Jordan. Structural equation modelling (SEM) using AMOS v27 was employed to analyse the data and test the hypotheses.

The study finds that employees perceive rewards to be significant and to directly influence incremental and radical innovation. Additionally, employees perceive that performance appraisal to be significant for incremental innovation. The study also finds that IWB mediates the relationship between rewards, performance appraisal and incremental and radical innovation. No support was found for the impact of performance appraisal on radical innovation.

Distinctively, this paper considers both incremental and radical innovation in studying the link between HRM practices and innovation. It also takes an intra-organisational perspective by considering employees' perceptions of rewards and performance in fostering innovation. Additionally, it assesses the impact of IWB in mediating the relationship between rewards, performance appraisal and innovation. IWB is rarely empirically studied in the HRM–innovation link specifically when linked with radical and incremental innovation.

This study aims to examine the challenges facing the construction industry practitioners toward adopting digital construction technologies in the Jordanian construction industry.

Quantitative methods were used by reviewing the related literature to include 16 challenges that face the Jordanian construction industry in adopting digital construction. A questionnaire was used to achieve the desired study objectives for 373 respondents from various institutions and companies. The questionnaire was analyzed with SPSS using statistical tests such as mean score, Kruskal–Wallis H test and factor analysis.

After collecting the quantitative data, the study showed that the most challenges facing construction industry practitioners toward adopting digital construction techniques are lack of qualified workers, high requirement for computing equipment’s, high initial cost of bringing these technologies to the market and construction firms low investment in research and development. These challenges faced by respondents were divided into three main factors, namely, construction’s nature, financial constraints and poor management support.

This study provides information and statistics on the challenges that face individuals or companies toward adopting digital construction techniques in Jordan. It proposes recommendations and proper practical implantation strategies to overcome the challenges.

This paper aims to identify and provide a theoretical explanation for the barriers that hinder the adoption of emerging technologies in the architecture, engineering and construction industry, irrespective of the company’s size, specialization or geographical location. In addition, the paper proposes potential areas for future research in this domain.

A list of barriers hindering the adoption of emerging technologies was identified and clarified using a systematic literature review of various scientific sources.

Twenty-five barriers were recognized and explained and some suggestions for future research studies were provided.

The barriers related to a specific country or region or to a specific technology were excluded.

By providing a deeper comprehension of the barriers hindering the adoption of emerging technologies, this review is expected to encourage their adoption in the industry. Furthermore, it could prove valuable in devising effective strategies for the successful implementation of these technologies.

The purpose of this paper is to investigate the impact of hard total quality management (TQM) practices on operational performance dimensions in manufacturing organizations.

The study was designed in the Jordanian manufacturing sector. Organizations that are familiar with hard TQM practices specifically that had already implemented ISO 9001 certificate were randomly surveyed through structured questionnaire, yielded a sample of 40 responding organizations. Principal component factor analysis was used to analyze hard TQM practices implementation and organizations operational performance dimensions. As a result, specific hard TQM practices and operational performance dimensions were extracted. The hard TQM practices that significantly influence operational performance dimensions were tested using simple and multiple linear regression analysis.

The research findings showed that hard TQM practices in manufacturing sector include; continuous improvement, statistical process control (SPC), process management and quality tools and techniques. Meanwhile, operational performance dimensions include; quality and inventory management performance. Also, the findings showed that continuous improvement and SPC practices play a major role in obtaining the desired results of operational performance.

Three limitations can be identified in this research, using subjective measures of TQM practices and operational performance, low response rate and using a sample of organizations from various industries. This paper can help Jordanian manufacturing organizations to foster proper practices and make the right decisions related to operational performance.

This study describes a reliable hard TQM model that can be used by manufacturing organizations to improve their operational performance. Also, the results of this study contribute to prior literature and recommend some best practices for manufacturing organizations.

The process of predicting construction costs and forecasting price fluctuations is a significant and challenging undertaking for project managers. This study aims to develop a construction cost index (CCI) for Jordan’s construction industry using fuzzy analytic hierarchy process (FAHP) and predict future CCI values using traditional and machine learning (ML) techniques.

The most influential cost items were selected by conducting a literature review and confirmatory expert interviews. The cost items’ weights were calculated using FAHP to develop the CCI formula.

The results showed that the random forest model had the lowest mean absolute percentage error (MAPE) of 1.09%, followed by Extreme Gradient Boosting and K-nearest neighbours with MAPEs of 1.41% and 1.46%, respectively.

The novelty of this study lies within the use of FAHP to address the ambiguity of the impact of various cost items on CCI. The developed CCI equation and ML models are expected to significantly benefit construction managers, investors and policymakers in making informed decisions by enhancing their understanding of cost trends in the construction industry.

Demand forecasts are a key component of planning efforts and are crucial for managing core operations. This study aims to evaluate the use of several machine learning (ML) algorithms to forecast demand for residential construction in Jordan.

The identification and selection of variables and ML algorithms that are related to the demand for residential construction are indicated using a literature review. Feature selection was done by using a stepwise backward elimination. The developed algorithm’s accuracy has been demonstrated by comparing the ML predictions with real residual values and compared based on the coefficient of determination.

Nine economic indicators were selected to develop the demand models. Elastic-Net showed the highest accuracy of (0.838) versus artificial neural networkwith an accuracy of (0.727), followed by Eureqa with an accuracy of (0.715) and the Extra Trees with an accuracy of (0.703). According to the results of the best-performing model forecast, Jordan’s 2023 first-quarter demand for residential construction is anticipated to rise by 11.5% from the same quarter of the year 2022.

The results of this study extend to the existing body of knowledge through the identification of the most influential variables in the Jordanian residential construction industry. In addition, the models developed will enable users in the fields of construction engineering to make reliable demand forecasts while also assisting in effective financial decision-making.

This paper aims at studying the level of implementation of ISO 9001 in Jordanian consulting engineering firms and to what extent does the implementation effectiveness affect the success of the construction projects. Moreover, the paper seeks to identify the Critical Success Factors (CSFs) that directly influence the ISO 9001 effectiveness in Jordanian consulting engineering firms.

A questionnaire was constructed and distributed to a sample of 125 employees from six ISO 9001-consulting firms. After collecting the data, exploratory factor analysis was utilized to validate the latent constructs (CSFs, ISO 9001 Effectiveness, and Firm Performance).

The findings suggest that firms experience a high level of ISO 9001 effectiveness. Moreover, among the five identified CSFs; employee attributes, external environmental pressure and quality system attribute had a significant impact on the ISO 9001 effectiveness, while internal motivation and firm attributes were insignificant.

The significance of this study lies in exploring such topic in the developing countries, since most of current studies were focused on developed contexts such as the USA and UK. Therefore, this research acts as a response to calls in the current literature regarding considering different industries and contexts.

The purpose of this paper is to investigate the relationship between total quality management practices and the organizational performance in the Jordanian construction chemicals companies.

In this research, ten constructs were used to measure TQM practices, whereas six constructs were used to measure the organizational performance. A total of 160 questionnaires were distributed to 28 companies. Of these 131 questionnaires were completed and used for the analysis, representing a response rate of 81.9 percent.

Analysis has shown that TQM practices positively affect the organizational performance, with a significant value for top management commitment, customer focus, supplier management, process control and continuous improvement.

Results were based on perceptual data provided by participants working in different sectors of the organization, which may not provide a clear picture. It would be appropriate to consider collecting information from several stakeholders such as customers and suppliers. Willingness of respondents and delivering data within time were a big challenge though efforts were made to guarantee the confidentiality of the respondents.

Results from this research points out that TQM is considered as a key-contributing factor to firm’s survival. It also provides empirical support that TQM implementation in manufacturing organizations contributes to the performance and survival of such organizations. This research also provides an understanding of the dynamic role of TQM practices that would help managers pay attention to the fundamental practices that have a direct impact on the firms’ performance. This will help the organizations to dedicate efforts and allocate resources to get the best long-term outcomes and to figure out their strengths and weaknesses to develop and implement a new strategy to enhance their competitive position.

Construction sector in Jordan is a competitive sector. Therefore, quality in such industry is vital. Many companies in Jordan have much interest in implementing TQM practices. However, research efforts related to this field are rare. No research papers investigating the relationship between TQM practices and performance in Jordanian construction chemicals companies have been found. This research, therefore, seeks to examine the relationship between TQM practices and the construction chemicals firms’ performance in Jordan.

The purpose of this paper is to identify factors affecting cost estimate accuracy in each of five design stages preceding building construction: order of magnitude, conceptual/schematic, detailed design, construction document and bid phase.

Data were collected using an online survey completed by 138 respondents who work in design consultancy firms in Jordan, including project managers, architects and quantity surveyors (QSs). Survey responses were analyzed using descriptive statistics. Confirmatory interviews and case study comparisons were used to confirm the statistical analysis results.

The results of this study indicated that each design stage’s cost estimate was affected by several factors. Two significant factors were common across four of the five design stages: client experience and project team experience. In addition, a high level of agreement was observed among the project managers, architects and QSs regarding the factors affecting cost estimate accuracy.

Accurately estimating building construction costs during the design process has posed a challenge for designers and their clients in Jordan. Despite the care and effort involved in preparing cost estimates in each of the five design stages, deviations are commonly observed. Because the accuracy of building construction cost estimates directly affect the success or failure of a project, the results of this study can be used to reduce uncertainties in building construction cost estimation and subsequently increase the likelihood of project success