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This research aims to address the knowledge gap regarding the influence of electronic performance monitoring (EPM) on supervisors' behavior. Building upon the sociomaterial perspective and the general model of disinhibition, the study explores the internal mechanisms and boundary conditions between supervisor EPM use and supervisor undermining.

An online survey was administered via the Sojump platform, inviting supervisors from diverse industries in China to participate in a three-wave study, each wave being approximately two weeks apart. The study gathered multi-wave data from 225 supervisors to assess the conceptual model.

The results showed that supervisor EPM use was positively related to sense of power, which in turn positively related to supervisor undermining. Furthermore, supervisors' individual identity orientation moderates the relationship between supervisor EPM use and sense of power, as well as the indirect relationship between supervisor EPM use and supervisor undermining through sense of power.

This study advocates for responsible EPM use to mitigate supervisor undermining (e.g. making subordinates feel incompetent) and minimize negative leadership behaviors.

The presented results signify a substantial progression in comprehending the interplay between supervisor EPM use and individual identity orientation, and their combined impact on the sense of power and subsequent supervisor undermining.

This paper aims at comparing and contrasting the Ao Man-long scandal with the Ho Chio-meng case in Macau, drawing lessons from the two events and casting lights on the literature on corruption scandals.

The study used documentary research and interpretative and analytical approaches.

The two cases show considerable administrative discretion on the part of the principal officials involved, and remedial measures along the line of having more rigorous and frequent internal auditing may be necessary.

Original analyses were conducted together with literature review and documentary research. This paper would be of interest to scholars and practitioners concerned with how Macau combats corruption.

The purpose of this study is to develop a review rating prediction method based on a supervised text mining approach for unrated customer reviews.

Using 2,851 hotel comment card (HCC) reviews, this paper manually labeled positive and negative comments with seven aspects (dining, cleanliness, service, entertainment, price, public, room) that emerged from the content of said reviews. After text preprocessing (tokenization, eliminating punctuation, stemming, etc.), two classifier models were created for predicting the reviews’ sentiments and aspects. Thus, an aggregate rating scale was generated using these two classifier models to determine overall rating values.

A new algorithm, Comment Rate (CRate), based on supervised learning, is proposed. The results are compared with another review-rating algorithm called location based social matrix factorization (LBSMF) to check the consistency of the proposed algorithm. It is seen that the proposed algorithm can predict the sentiments better than LBSMF. The performance evaluation is performed on a real data set, and the results indicate that the CRate algorithm truly predicts the overall rating with ratio 80.27%. In addition, the CRate algorithm can generate an overall rating prediction scale for hotel management to automatically analyze customer reviews and understand the sentiment thereof.

The review data were only collected from a resort hotel during a limited period. Therefore, this paper cannot explore the effect of independent variables on the dependent variable in context of larger period.

This paper provides a novel overall rating prediction technique allowing hotel management to improve their operations. With this feature, hotel management can evaluate guest feedback through HCCs more effectively and quickly. In this way, the hotel management will be able to identify those service areas that need to be developed faster and more effectively. In addition, this review rating prediction approach can be applied to customer reviews posted via online platforms for detecting review and rating reliability.

Manually analyzing textual information is time-consuming and can lead to measurement errors. Therefore, the primary contribution of this study is that although comment cards do not have rating values, the proposed CRate algorithm can predict the overall rating and understand the sentiment of the reviews in question.

Against the background of the popularity of social media and heritage tourism, this study aims to focus on world heritage sites, proposing a method to examine and compare the digital spatial footprints left by tourists using geographic information systems.

By analyzing user-generated content from social media, this research explores how digital data shapes the destination image of WHS and the spatial relationships between the components of this destination image. Drawing on the cognitive-affective model (CAM), it investigates through an analysis of integrated data with more than 20,000 reviews and 2,000 photos.

The creativity of this research lies in the creation of a comprehensive method that combines text and image analytics with machine learning and GIS to examine spatial relationships within the CAM framework in a visual manner.

The results reveal tourists' perceptions, emotions, and attitudes towards George Town and Malacca in Malaysia, highlighting several key cognitive impressions, such as history, museums, churches, sea, and food, as well as the primary emotions expressed. Their distributions and relationships are also illustrated on maps.

Tourism practitioners, government officials, and residents can gain valuable insights from this study. The proposed methodology provides a valuable reference for future tourism studies and help to achieve a sustainable competitive advantage for other heritage destinations.

Since the 1986 initiation of Vietnam’s Đổi Mới economic policies designed to increase national Gross Domestic Product and increase international market competitiveness, the country has undergone drastic changes in infrastructure, industrialization levels, market practices and standards of living. These changes are creating an abundance of unprecedented transformations among the many ethnic minority groups, who are used as a source of tourism revenue due to their unique cultural customs, clothing, and languages that differ from Vietnam’s majority ethnic group, the Kinh. Yet, while these groups are being exoticized for their rich cultural history and practices, they are simultaneously being required to discard many traditional livelihood methods and practices in order to keep up with the swiftly changing economy and social space. Despite these ethnic minority communities being presented as the main attraction in many areas, unequal economic and social distribution compared to areas mainly composed of Kinh can be seen. Similar findings have been discovered across other ethnically diverse areas of the country. Despite flourishing tourism to the region and steady rates of regional growth in gross domestic product, a gender analysis reveals the inequalities that undergird the system. This chapter confirms the impact of tourism on development when gender is not mainstreamed into development planning and implementation.

This study is a quantitative exploration of a new construct the authors label as “academic culture (AC).” Treating it as generalized latent variable composed of academic press (AP), disciplinary climate (DC), and teachers’ use of instructional time, the purpose of this paper is to explore the potential of this construct to be a key mediator of school leaders’ influence on student learning. The study is guided by three hypotheses.

Responses by 856 elementary teachers from 70 schools to an online survey measured the three components of AC along with school leadership (SL). Provincial tests of writing, reading, and math were used as measures of student achievement (SA). Social economic status (SES) was used as control variable for the study. Data were summarized using descriptive statistics and correlations were calculated among all variables. Analyses included intra-class correlation analysis, regression equations, confirmatory factor analysis, and structural equation modeling.

Evidence confirmed the study’s three hypotheses: first, AP, DC, and instructional time formed a general latent construct, AC; second, AC explained a significant proportion of the variance in SA, controlling for student SES; and third, AC was a significant mediator of SL’s influence on SA. Concepts and measures of academic optimism (AO) and AC are compared in the paper and implications for practice and future research are outlined.

This first study of AC explored the relationship between AC and SA. Although at least two AO studies have included measures of distributed leadership, minimal attention has been devoted to actually testing the claim that AO is amenable to the influence of explicit leadership practices (as distinct from enabling school structures) and is a powerful mediator of SL effects on student learning. Addressing this limitation of AO research to date, the present study included a well-developed measure of leadership practices and assessed the value of AC as a mediator of such practices.

This study aims to assess the oxidative stability of avocado oil (AO) at various temperatures, using butylated hydroxytoluene (BHT) as an artificial antioxidant and different concentrations of ultrasonic extract of Chlorella vulgaris.

Extracts of C. vulgaris were obtained using four solvents: water, acetone, ethanol and 80% ethanol-aqueous. Standard techniques were used to conduct qualitative phytochemical screening of the extracts. The extracted samples were analyzed for total phenolics, total flavonoids, antioxidant activity and phenolic compound fractionation. Some physicochemical parameters of AO treated with various concentrations of C. vulgaris ultrasonic extract compared to a 200 ppm BHT and exposed to different temperatures were measured.

The highest phenolic, flavonoids content and antioxidant activity was achieved by 80% ethanolic extract of C. vulgaris . The results showed that exposure of AO to high temperatures led to significant changes in the oil's physicochemical properties. These changes increased as the temperature increased. On the other hand, adding 80% ethanolic extract of C. vulgaris into AO reduced the effect of heat treatment on the change in physicochemical properties.

Adding 80% ethanolic extract of C. vulgaris into AO can potentially reduce the impact of heat treatment on the alteration of physicochemical properties.

This paper aims to explore the impact of a firm’s political connections on its economic value added (EVA) performance while treating connection heterogeneity and product diversification as moderators.

Based on data collected from 1,143 Chinese manufacturing listed firms in China’s A-share market from 2012 to 2017, this study conducted panel data analysis to investigate proposed relationships.

The findings provide evidence that political connections promote EVA performance of enterprises and both connection heterogeneity and product diversification negatively moderate the political connections – EVA performance relationship.

Drawing sights from the resource-based view, this study investigates the influence of corporate political connections on EVA performance, considering contingent factors of connection heterogeneity and corporate strategy (i.e. product diversification). It, thus, contributes to the literature on political connections by providing additional evidence to explaining the inconclusive findings on the political connections–firm performance relationship and extending prior research by emphasizing the moderating roles of connection heterogeneity and corporate strategy. It also complements prior research on EVA performance by exploring its antecedents.

Planning for future real estate and facility needs in a highly uncertain competitive environment can benefit from a four‐stage process of demand forecasting. Based upon research conducted within the Corporate Real Estate Portfolio Alliance and a review of general business forecasting techniques, each successive stage relies on more abstract data and increased dialogue about business strategy with the lines of business as uncertainty about the future increases. Each stage requires increasing flexibility in the supply of real estate as the range of probabilities around the forecast widens.

Thiadiazole compounds and their derivatives have carrying capacity and good lubricating properties. However, their poor oil-solubility limited their wide usage in lubricating oil. The study aims to develop thiadiazole lubricant additives with better oil-solubility. When the hindered phenol antioxidation functional group and alkyl-chain are introduced to thiadiazole, the resulting product could have better oil-solubility and excellent antioxidation resistance, anti-wear and corrosion resistance in the lubricating oil.

One kind of thiadiazole lubricant additive, for the first time, has been synthesized from 2,5-dimercapto-1,3,4-thiadiazole. Its tribological performance has also been evaluated by four-ball test. And, its oxidation resistance has been estimated by rotating pressure vessel oxidation test and pressurized differential scanning calorimetry. The anticorrosion performance of such an additive has been studied by GB/T 5096 standard method test.

The synthesized thiadiazole additive has excellent anti-oxidation capability, good anti-wear and extreme pressure properties and good anticorrosion performance, in comparison with zinc dialkyl dithiophosphate (ZDDP). In base oils, the comprehensive performance of thiadiazole additive is comparable to ZDDP. Mechanistic studies indicate that the S and N active elements were involved in the formation of a boundary film. This may account for the formation of a composite membrane on the metal surface and thus for the tribological performance of such thiadiazole additives.

The thiadiazole derivatives, which are ashless and have environmentally friendly features, are a potential alternative to ZDDP. Because of the film formed on the friction surface, thiadiazole compounds may serve as an excellent anti-wear additive and are expected to reduce friction and wear between metals.