Purpose The study considers a four-construct model for validating the factors of overall patient satisfaction with medication. This paper aims to study the satisfaction of patients with their medication. Patient satisfaction with medication influences treatment-related behaviors, such as their possibility of continuing to use their medication, to take their medication correctly and to adhere with medication regimens. Design/methodology/approach treatment satisfaction questionnaire for medication (TSQM) version 1.4 patient satisfaction model has been tested for reliability and validity through confirmatory factor analysis. A structured questionnaire, incorporating variables identified from original TSQM version 1.4 (Atkinson et al., 2005), has been used as a survey instrument for the study. Final respondent sample size was 380 patients who were on medication for a minimum duration of 10 days. Findings In total, 75 per cent of the willingly participating patients were found to adhere to medication regimen as advised by their physician. Effectiveness, side effects, convenience and global satisfaction were found to be reliable and valid factors for assessing satisfaction with medication among patients in emerging market settings. Originality/value The existing studies on measuring patient satisfaction have been majorly confined to developed economies. There is lack of focused research on patient satisfaction and its underlying determinants in the emerging market settings. The present study is an attempt to fill the existing research gap.
PurposeThis study investigates the antecedents of women entrepreneurs’ performance in an emerging economy. Based on the review of extant literature, six antecedents of women entrepreneurs’ performance, namely, motivation, networking, socio-cultural, business environment, training and development, and financials were proposed and subsequently empirically examined.Design/methodology/approachGaps in the literature were identified, based on which the theoretical background of the study was formulated. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) were applied to confirm the factor-item structure. The impact of explanatory variables was investigated using the structural equation modeling (SEM) based path analysis.FindingsThe study concludes that motivation, networking, socio-cultural, business environment, training and development, and financials have a significant positive influence on the performance of the women entrepreneurs.Originality/valueThere is a dearth of quality research that holistically investigates the key antecedents of performance among women entrepreneurs. Most existing studies have not considered the possible antecedents of performance concomitantly. Additionally, the relationships have been measured individually rather than at the construct level. Further, a majority of the existing studies investigating the performance of women entrepreneurs have been confined to settings within developed countries. By providing insight into the antecedents of women entrepreneurs’ performance elsewhere, the present study attempts to bridge these identified gaps. This study is expected to advance the knowledge about the factors influencing the performance of women entrepreneurs in emerging economies such as India. These insights will likely be valuable when creating policies related to this crucial aspect of economic development.
There are volumes of patient reports generated in any healthcare organization daily. The reports can be very lengthy or of few pages. Maintaining records of patients is essential for ensuring quality medical care. Doctors, apart from their routine activities, are also responsible to sort, examine and archive the generated reports. However, this process consumes doctors’ time, who are already hard-pressed for time. The objective of this study is to search for a method that can assign reports to doctors to ensure equitable and fair distribution of the overall workload. As a part of the solution, a mathematical model will be proposed to perform different developed heuristics. An experimental evaluation using different classes with a total of 2,450 different instances will be tested to measure the performance of the developed heuristics in terms of, elapsed time and gap value calculations. The clustering heuristics which is based on two groups is the best heuristic with 96.1% for the small instances and 98% for the big scale instances. The contribution of this work is based on employing dispatching rules with several variants; randomization approach, clustering methods; probabilistic method, and iterative methods approach to assign all given reports to doctors while ensuring the equitable distribution of the paper workload.
A five factor e-shopping adoption model grounded upon TAM and an additional dimension of ‘Trust' has been tested through Confirmatory Factor Analysis (CFA). For testing the hypothesized relations as part of the conceptual model, Structural Equation Modeling (SEM) has been employed. A structured instrument has been administered as part of survey to 600 eligible respondents comprising of online shoppers. A total of 539 shoppers spread across national zones, age and gender groups constituted the final sample. Perceived Usefulness (PU), Perceived Ease of Use (PEOU), Trust, Intention to Use (ITU) and Attitude towards Use (ATU) are reliable and valid factors predicting e-shopping adoption. PU and PEOU along with Trust bear significant causation towards ATU. ATU serves as strong predictor of ITU, while PEOU determines PU as well. Further, ATU partially mediates PU and ITU relationship. Present study highlights the applicability of modified TAM framework in predicting the inclination of emerging market consumers to embrace online shopping mediums scantly represented in extant literature.
Social media has been widely used to design and publish pro-environment campaigns; the goal is to spread awareness about environmental issues and explain how customers can change their consumption behavior to protect the environment. Customers’ engagement with pro-environmental campaigns (CEPC) on social media is crucial to achieving these objectives. Limited studies have examined the factors that could increase CEPC, and its effects, on pro-environmental consumption behavior. The available literature suggests the antecedents of social media engagement, but is restricted to brands/products. Based on these findings, this study explores the effects of advertising attractiveness, advertising-based skepticism, online interaction propensity, and privacy concerns on CEPC. This study also suggests that customers’ engagement with pro-environmental consumption-related content can be defined as a pro-environmental experience that could lead to pro-environmental consumption. The study was based on a sample of 262 responses from online users; the results indicated that CEPC is largely affected by advertising attractiveness, advertising skepticism, and online interaction propensity. The study further established that pro-environment consumption is a potential outcome of CPEC. This study contributes to the existing literature by providing insight into ways in which activist groups can inspire consumers to engage with pro-environment content and exploring whether that engagement translates into a pro-environment intention.
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