PurposeThis study investigates the impact of environmental uncertainty and organizational ambidexterity on supply chain integration and its relationship between supply chain agility and organizational flexibility in the manufacturing firms.Design/methodology/approachThe data were collected from 526 managers in services and manufacturing industry in Kuala Lumpur. The partial least square (SmartPLS 3.0) tool was applied through the use of the structural equation modeling (SEM) technique.FindingsThe results revealed that a strong relationship exist between environmental uncertainty and supply chain integrations including customer, supplier and internal integration. Organizational ambidexterity has a significant relationship with supply chain integration. Supply chain integrations were shown to have a positive impact on the firm's supply chain agility and organizational flexibility.Originality/valueThe findings may assist to establish a set of key drivers for enhancing supply chain agility and organizational flexibility as a supply chain management initiative in the manufacturing and service industry.

Background: The indiscriminate use of antimicrobial medicines has contributed to the development of microorganisms' resistance to antibiotics. Antimicrobial resistance (AMR) is a major global health problem and is most acute in countries that have a weak health care and regulatory system and a high burden of infectious diseases, such as Bangladesh. Due to shortages of physicians available to diagnose and prescribe appropriate antibiotics, people with ailments in Bangladesh are forced to contact various types of health care services, including retail pharmacies, that lack supervision by qualified medical personnel. It is unknown how pharmacists perceive the AMR situation and the related challenges they face. Objective: The aim of the study was to understand retail pharmacist's perceptions regarding AMR. Method: A qualitative study design was used, and in-depth interviews were held with retail pharmacists in Dhaka. Results: The participants demonstrated a variety of concerns regarding AMR. They considered that self-medication, old prescriptions, lack of regulations and supervision, and readily available antibiotics were the main factors that contributed to the misuse of antimicrobial medicines and the development of AMR. Conclusions: To control the further spread of AMR in Bangladesh, there is a need to work at several levels of the health system simultaneously. Initiatives could include establishment of the 'Model Pharmacy' programme nationwide, increasing and widening the focus on AMR in pharmacists' education, ensuring the implementation of government guidelines on AMR, increasing public awareness of the consequences of antimicrobial use, and surveillance and monitoring of regulations and progress. A multipronged strategy is necessary not only for better AMR control but also for investment in a system that is well equipped to provide equitable care in the face of both existing and new health challenges.

This study aimed to examine the healthcare service environment, patients' experience, and responses toward healthcare services in private general practice (GP) clinics. Self-administered questionnaires were used for collecting data from 367 respondents with prior experience in visiting the general practice clinics in Malaysia. SmartPLS statistical tool was used to test the underlying hypotheses. The results revealed that ambiance, service delivery, interior decor, and cleanliness had a significant influence on patients' trust and satisfaction while the exterior design is neither associated with satisfaction nor trust. Patients' satisfaction and trust had a higher significant effect on their repatronage intention, willingness to pay for a premium healthcare service, and engagement in word-of-mouth for healthcare services. In practice, both the service delivery and ambiance features of the healthcare services environment might be optimized by GP clinics. This research provides significant insights from the patients' perspective toward the GP clinics' healthcare services environment.

PurposeThis study aims to investigate how the employees' attributes, capabilities, behavioral control and behavioral intentions affect their intention to become a supply chain manager (SCM). The study also investigates how employees' capabilities mediate the relationship between attributes and intention to become SCM.Design/methodology/approachThe purposive sampling frame is employed to collect the data, and multiple statistical tools and techniques are used for analyzing the data.FindingsThe findings reveal that attributes are the most crucial factor for the capabilities of employees to become successful SCM. Employees' behavioral intention and capabilities have a significant impact on intention, whereas perceived behavioral control has a significant negative impact on it. Also, the result finds that capabilities partially mediate the relationship between attributes and intention to become an SCM.Research limitations/implicationsThe study extends the application of employees' intention to become a supply chain manager. The idea collected is based on Malaysia; thus, further study should be extended to assess the impact of employees' attributes, capabilities and behavioral control to become SCM as well as economic performance in other countries.Originality/valueTo the best of the authors' knowledge, this is the first empirical analysis on the relationship between employees' attributes, capabilities, behavioral control and intention to become SCM in the context of Malaysia. The findings will help the top management to select the right people as SCM and improve their attributes, capabilities and behavior so that they become an effective SCM.

Apparently, word clouds have grown as a clear and appealing illustration or visualization strategy in terms of text. Word clouds are used as a part of various settings as a way to give a diagram by cleansing text throughout those words that come up with most frequently. Generally, this is performed constantly as an unadulterated text outline. In any case, that there is a bigger capability to this basic yet intense visualization worldview in text analytics. In this work, we investigate the adequacy of word clouds for general text analysis errands and also analyze the tweets to find out the sentiment and also discuss the legal aspects of text mining. We used R software to pull twitter data which depends altogether on word cloud as a visualization technique and also with the help of positive and negative words to determine the user sentiment. We indicate how this approach can be viably used to explain text analysis tasks and assess it in a qualitative user research.