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From managerial perspective, the authors investigate the boundary and effective conditions of recruitment practices (e.g. job advertising and manager recruiting behavior) on recruitment outcomes that include employer image and organizational commitment in the context of recruitment practices. Drawing on signaling theory, the authors argue that using recruitment practices is generally more effective for creating employer image and organizational commitment.

The authors received a final sample of 213 from the employees of beverage industry. In doing so, statistical softwares SPSS (v.23) for data screening and SmartPLS (v.3.3.3) were used for hypothesis testing.

Using survey-based study, the study finds (1) that recruitment practices including job advertising and managers' recruiting behavior can be superior to developing employer image that positively can value the organizational commitment (2) The study identifies a significant role of employer image that is mediating between recruitment practices and post recruitment outcome (e.g. organization commitment).

The outcomes of the study provide valuable directions for human resource (HR) managers in national and multinational public organizations. The article offers recruitment strategies/practices to enhance employer image and organizational commitment.

The novelty of the study is the unique research framework, as the current paper is among the pioneers to empirically analyze the effect of recruitment practices on post-recruitment outcome testing the mediating relationship of employer image between job advertising organizational commitment and between managing recruiting behavior and organizational commitment.

This paper aims to examine the extent to which corporate board attributes influence dividend payout policies.

A total number of 2,842 firm’s year-observations of Malaysian non-financial firms representing from various industries. The firms were scrutinized over a period of 14 financial years covering from 2005 to 2018. The data was in a panel form given the cross-sectional and time-series nature. The fixed effect is used as the main technique for analysis. The OLS and random effects techniques are used for robustness for this study.

The results revealed that the proportion of board independence, board tenure, board size and CEO duality have a positive and statistically mixed effect on dividend pay-out. However, the corporate board diversity and board member age had a negative association with dividend payouts. Overall, the results suggest that firms with well-organized corporate board attribute affect positively on dividend pay-out policy.

This research contributes to a nuanced understanding of internal governance mechanisms by presenting evidence of the substitution hypothesis in an emerging economy in which firms operate within a unique regulatory framework and board composition.

The deployment of vaccines is the primary task in curbing the COVID-19 pandemic. The purpose of this paper is to understand the public’s opinions on vaccines and then design effective interventions to promote vaccination coverage.

This paper proposes a research framework based on the spatiotemporal perspective to analyse the public opinion evolution towards COVID-19 vaccine in China. The framework first obtains data through crawler tools. Then, with the help of data mining technologies, such as emotion computing and topic extraction, the evolution characteristics of discussion volume, emotions and topics are explored from spatiotemporal perspectives.

In the temporal perspective, the public emotion declines in the later stage, but overall emotion performance is positive and stabilizing. This decline in emotion is mainly associated with ambiguous information about the COVID-19 vaccine. The research progress of vaccines and the schedule of vaccination have driven the evolution of public discussion topics. In the spatial perspective, the public emotion tends to be positive in 31 regions, whereas local emotion increases and decreases in different stages. The dissemination of distinctive information and the local epidemic prevention and control status may be potential drivers of topic evolution in local regions.

The analysis results of media information can assist decision-makers to accurately grasp the subjective thoughts and emotional expressions of the public in terms of spatiotemporal perspective and provide decision support for macro-control response strategies and risk communication.

Twitter is gaining popularity as a microblogging and social networking service to discuss various social issues. Coronavirus disease 2019 (COVID-19) has become a global pandemic and is discussed worldwide. Social media is an instant platform to deliberate various dimensions of COVID-19. The purpose of the study is to explore and analyze the public sentiments related to COVID-19 vaccines across the Twitter messages (positive, neutral, and negative) and the impact tweets make across digital social circles.

To fetch the vaccine-related posts, a manual examination of randomly selected 500 tweets was carried out to identify the popular hashtags relevant to the vaccine conversation. It was found that the hashtags “covid19vaccine” and “coronavirusvaccine” were the two popular hashtags used to discuss the communications related to COVID-19 vaccines. 23,575 global tweets available in public domain were retrieved through “Twitter Application Programming Interface” (API), using “Orange Software”, an open-source machine learning, data visualization and data mining toolkit. The study was confined to the tweets posted in English language only. The default data cleaning and preprocessing techniques available in the “Orange Software” were applied to the dataset, which include “transformation”, “tokenization” and “filtering”. The “Valence Aware Dictionary for sEntiment Reasoning” (VADER) tool was used for classification of tweets to determine the tweet sentiments (positive, neutral and negative) as well as the degree of sentiments (compound score also known as sentiment score). To assess the influence/impact of tweets account wise (verified and unverified) and sentiment wise (positive, neutral, and negative), the retweets and likes, which offer a sort of reward or acknowledgment of tweets, were used.

A gradual decline in the number of tweets over the time is observed. Majority (11,205; 47.52%) of tweets express positive sentiments, followed by neutral (7,948; 33.71%) and negative sentiments (4,422; 18.75%), respectively. The study also signifies a substantial difference between the impact of tweets tweeted by verified and unverified users. The tweets related to verified users have a higher impact both in terms of retweets (65.91%) and likes (84.62%) compared to the tweets tweeted by unverified users. Tweets expressing positive sentiments have the highest impact both in terms of likes (mean = 10.48) and retweets (mean = 3.07) compared to those that express neutral or negative sentiments.

The main limitation of the study is that the sentiments of the people expressed over one single social platform, that is, Twitter have been studied which cannot generalize the global public perceptions. There can be a variation in the results when the datasets from other social media platforms will be studied.

The study will help to know the people's sentiments and beliefs toward the COVID-19 vaccines. Sentiments that people hold about the COVID-19 vaccines are studied, which will help health policymakers understand the polarity (positive, negative, and neutral) of the tweets and thus see the public reaction and reflect the types of information people are exposed to about vaccines. The study can aid the health sectors to intensify positive messages and eliminate negative messages for an enhanced vaccination uptake. The research can also help design more operative vaccine-advocating communication by customizing messages using the obtained knowledge from the sentiments and opinions about the vaccines.

The paper focuses on an essential aspect of COVID-19 vaccines and how people express themselves (positively, neutrally and negatively) on Twitter.

The purpose of this paper is to examine the relationship between perceived organizational support (POS), organizational commitment and job satisfaction among special education teachers in Pakistan. The data were collected from 85 special education teachers from different special education centers in Punjab, Pakistan. POS was measured using a survey of POS developed by Eisenberger et al. (1986). Affective continuance and normative commitment are measured by affective continuance and normative commitment scales developed by Meyer and Allen’s (1984) and Allen and Meyer (1990), respectively. Results of the current study show that POS and job satisfaction are positively correlated with affective and normative commitment. POS and job satisfaction are not associated with continuance organizational commitment. This suggests that a teacher’s commitment can be improved by increasing organizational support, underprivileged working environment and job satisfaction. Limitations and implication of the study are discussed.

In the current study, cross-sectional research design and non-probability purposive sampling technique were used. A sample of 85 special education teachers was collected from different special education institutes of Punjab and federal, Pakistan. Inclusion criteria were teacher with specialization in all disabilities (mentally challenged, deaf, blind, physical handicapped and slow learners), informed consent and age range 20‒55 years, at least 6-month teaching experience in special education. Exclusion criteria were teaching experience less than 6 months and age less than 20 or more than 55 years. The demographic characteristics of teachers are presented in Table II.

Findings of the present study suggest a positive association between POS, affective commitment, normative commitment and job satisfaction, whereas there is no association between POS and continuance commitment as well as between job satisfaction and continuance commitment among special education teachers in Pakistan. Organization should consider the exclusive support of the special education teachers.

The current study also has some limitation. The sample size is very small. In the current study, data are collected from 85 special education teachers from federal and few cities of Punjab, Pakistan. Hence, data are not true representative. Data for current study are collected through self-reported scales and only collected from academic staff.

In the current study, special education teachers have identified factors that promote organizational support, commitment and job satisfaction, such as reasonable workloads, sound working environment, unbiased and fair working conditions, and administrative support. It has been found that decreased level of POS, commitment and job satisfaction damage the organization, special educators and special students. Therefore, special education department should develop and implement policies that strengthen these dimensions. A broad recommendation can be made on the basis of these findings: affective and normative commitment increases when individuals have satisfying experience with organization. Thus, this may be improved by providing special educators with the opportunity to work in a better work environment, with proper work load, as it would increase emotional and normative attachment of the individuals with their institutes. The current study would be helpful for policy makers in the field of education and administration in order to work on these dimensions to increase the teacher’s job satisfaction and organizational commitment. It would also create awareness among the general public about the potential problems of special education teachers in Pakistan affecting the quality of life of children with special needs. Results suggest that by providing organizational support, appropriate work load and unbiased attitude, a teacher’s commitment can be improved.

The current research helps academics and administration to improve social functioning of special education teachers by improving their job satisfaction and organizational support.

The prevalence rate of children with disabilities is increasing rapidly in Pakistan. Since stigma is associated with individuals with disabilities, parents hide disabilities of their children so that other relatives may not face any problems, such as being doubted of carrying defective genes. Families have to cope with financial crises due to lack of institutional support, extra expense to deal with disabled person and loss of work. In such circumstances, special education institutions are only hopes for such people to assist them in dealing with their disabled children. However, the strength of teachers in these institutions is not enough to fulfill needs of such children. A number of researches have examined the role of organizational support, job satisfaction and organizational commitment of teachers in western countries (Makanjee et al., 2006; Alijanpou et al., 2013; Batool and Ullah, 2013). However, to the best of the authors’ knowledge, no study has yet investigated this serious issue in Pakistan. This study provides valuable information on organizational support, commitment and job satisfaction among special educators, and recommendation on how organizational commitment can be improved.

Introduction: The current study examines the relationship of reciprocity and the knowledge sharing behavior (KSB) with the mediating role of organizational commitment.

Aim: The purpose of this chapter is to examine linkages between reciprocity and KSB in Pakistani Pharmaceutical industry basing on social exchange theory (SET) (Blau, 1964). Employees’ affective and normative organizational commitments were proposed as mediator to explain these relationships.

Method: Data were collected using Survey Questionnaires from a sample of 287 managers and staff of sales department of different pharmaceutical firms in Rawalpindi and Islamabad, Pakistan. This is an explanatory study with a quantitative approach. KSB model was developed and tested using a two-stage analysis. Initially, path analysis using AMOS was carried out followed by mediation through process analysis.

Findings: Affective and normative commitment was found to be mediating between reciprocity and KSB using SET.

Originality of the Study: Few empirical studies have analyzed the effects of reciprocity on KSB, especially in context of pharmaceutical industry. Mediation of employee’s commitment could provide new insights to management practitioners in fostering KSB.

Implications: The finding will allow organizations in general and pharmaceutical firms in particular, to focus more on commitment toward their employee as a reciprocal benefit for improving knowledge sharing culture in their organizations.

The purpose of this paper is to explore the extent to which contextual factors outlined in the theory of planned behavior (TPB) affect entrepreneurial intent (EI) of female students in the United Arab Emirates.

This paper presents a hierarchical regression analysis utilizing data from a university in the UAE.

The study indicates that prior and current family business exposure to entrepreneurship does not affect the EI of female students from the UAE. However, the family affects EI via the family norms. More exposure to business classes and the subjective norms from the university are not significant predictors of EI, and perceived behavioral control is the strongest contextual predictor of EI.

The study was limited to the UAE and to a small sample of female students from a single university; therefore, the findings should be interpreted with caution.

The study points to opportunities within the university environment to design more robust curricula that offer female students opportunities to boost their confidence in the ability to start up and manage a business.

The paper is the first of its kind to apply the TPB to the context of female students from the UAE.

This study aims to assess the effect of director board and audit committee attributes and ownership structure on firm performance. In general, resource dependency and agency theories have underlined the superior performance of firms equipped with stronger Corporate Governance (CG) versus those of deficient governance. Concurrently, the study delineated the provisions of ownership structure provision, specifically foreign ownership and institutional ownerships, thus describing the component denoting the structural significance in explicating firm performance.

The current study implemented an empirical approach involving the construction of extensive CG measures thus, subjected to 81 non-financial firms listed on the Amman Stock Exchange spanning the period of 2014–2018.

The current study identified the positive and significant relationship between the board of directors and audit committee characteristics with the firm performance measures tested, namely, return on equity (ROE) and Tobin’s Q. In terms of ownership structure, both foreign and institutional ownerships yielded a significant and positive relationship with ROE. Meanwhile, Tobin’s Q led to an insignificant and negative relationship between both ownership types and firm performance measures.

The analytical outcomes substantiate the possibility of enhanced performance shown by growing global firms because of the implementation of CG mechanisms, specifically because of the practices resulting in minimised agency costs.

The current study offers novel evidence detailing the impact of CG effectiveness towards performance and its implementation in emerging markets following the minimal amount of scholarly efforts on the topic. It is a timely contribution towards the current understanding of the relationship linking governance and performance for the purpose of ensuring the adoption and imposition of a strong corporate governance code by the government.

As an extended work of the previous paper (Sul, 2010), this paper provides a guideline information for an anonymous garment pattern in sewing process. The purpose of this paper is to first, provide garment pattern database. By simply taking pictures of garment patterns, the shape database is constructed. Once the shape database is prepared, data retrieval can be done by image indexing, i.e., simply inserting garment pattern boundary shape again to the database. Using shock graph methodology, the pattern sets used for database preparation can be exactly retrieved. Second, to find the nearest shape of a given input pattern shape in the database. If the input garment pattern shape does not exist in the database, the shape matching algorithm provides the next similar pattern data. The user, who is assumed to be non-expert in garment sewing process, can easily predict the position and combination information of various patterns.

Image processing is used to construct the garment pattern shape database. The boundary shapes are extracted from the photographs of garment patterns and their shape recognition information, especially shock graph, is also recorded for later pattern data retrieval.

Using the image processing technique, garment patterns can be converted to electronic format easily. Also the prepared pattern database can be used for finding the nearest shape of an additional given input garment pattern. Patterns with irregular shapes were retrieved easily, while those with a simple shape, such as rectangle, showed a little erroneous result.

Shape recognition has been adopted in various industrial areas, except for garment sewing process. Using the provided methodology, garment pattern shapes can be easily saved and retrieved only by taking pictures of them.