What are the antecedents of counterproductive behaviour (CB) at work? Previous research identified both trait and perceived situational variables such as dispositional self-control and organizational ...justice. In this article, the focus is on employees' perceived job demands. More specifically, the relation between emotional labour (surface and deep acting) and CB is examined. An online study with service providers from different lines of business (N = 559) confirmed that, while controlling for dispositional self-control and organizational injustice, both surface and deep acting in customer interactions were related to CB at work. Whereas the most influential variable was dispositional self-control, the findings confirm that people's perceived job demands contribute to deviant behaviour at work. Practical implications for job design are discussed.
Purpose – This paper aims to investigate how the strength of a corporate brand influences the adoption of an innovative service, and the main components of the construct: corporate brand ...(CB).Design/methodology/approach – A real‐world, online, information acceleration experiment was conducted where the marketing mix and competitive environment was held constant for a new service from three different CBs. Respondents indicated their likelihood of buying from each of these and their perceptions of them.Findings – The study finds that there was a significant relationship between CB strength and respondents' likelihood of adoption of the service. The CB construct was found to comprise two factors: conative and cognitive, where the former was more influential on adoption probability.Research limitations/implications – A limited set of variables commonly associated with brands was taken to be representative of CB. Further research would be needed to more generalise the findings and more fully examine the CB construct for its components.Practical implications – A competent marketing mix is not sufficient on its own to gain the adoption of an innovative service: a strong CB is influential. The emotive rather than factual associations with the CB may well be a more influential on adoption decisions.Originality/value – An indication of the scale of the CB effect on innovation adoption is given. CB is indicated to have two components: emotive and factual. Those managing the potential launch of an innovative service and who may have several corporate brands to choose from to use would be aided by this research.
Background
There are numerous methods and procedures described for the preparation of cell blocks (CBs) from cytological samples. The objective of this study was to determine current practices and ...issues with CBs in European laboratories.
Methods
A link to an online survey, with 11 questions about CB practices, was distributed to cytology laboratories via participants of United Kingdom National External Quality Assurance Service for Cellular Pathology Techniques and national representatives in the European Federation of Cytology Societies.
Results
A total of 402 laboratories responded completely (337/402, 84%) or partially (65/402, 16%) to the survey by February 4, 2022. The most common CB practice is embedding cell pellets using plasma and thrombin (23.3%), agar (17.1%), Shandon/Epredia Cytoblock (11.4%), HistoGel (7.9%), and Cellient (3.5%). Other methods such as CytoFoam, albumin, gelatin, Cytomatrix, and collodion bags are rarely used (1.0%, 0.7%, 0.7%, 0.3%, and 0.2%, respectively). CBs are also prepared from naturally occurring clots or tissue fragments (29.5%) and cells scraped from unstained or prestained smears (4.4%). The most frequent issues with the CBs in a daily cytology practice are low cellularity (248/402, 62%) and dispersed cells (89/402, 22%), regardless of the CBs preparation method or how the samples for embedding were selected.
Conclusions
There is a great variability in CB practices in European laboratories with low cellular CBs as the main issue. Additional studies are mandatory to evaluate and improve performance and cellular yield of CBs.
There is great variability in cell block (CBs) practices in European laboratories with low cellular CBs as the main issue. Additional studies are needed in order to evaluate and improve performance and cellular yield of CBs.
The department store has been promoting the online services - such as stylist match, remote assistance and virtual demos - that 4,900 associates, stylists and managers across Neiman Marcus and ...Bergdorf Goodman use to bring the feel and flavor of its personalized in-store service online. According to CB Insights, investment dollars are surging into these areas, which means more development for the foreseeable future. The report singled out social commerce start-ups, resale platforms, virtual shopping tools and on-demand services as key focal areas for investors.
Capital Cities ABC Multimedia Group Pres Stephen Weiswasser believes that online services will be considered the CB radio of the 1990s, but he doubts that there will be a profitable market for such ...services. Internet does not have the quality that will attract the wide audience it needs to make it profitable for companies to use it. Weiswasser believes that ABC Online is a good example of a service that reaches 2.6 million homes via American Online, but brings in little revenue for Cap Cities ABC.
Customized bus (CB) is an innovation mode of public transportation (PT) system to alleviate the traffic congestion. As a demand-based transport, CB holds promise to provide personalized service by ...aggregating travel demand of individuals. However, the data collected through online surveys are limited and unreliable for the CB operation planning. This paper introduces a methodology to investigate the potential travel demands of CB based on smartcard data (SCD). The methodology proposed here consists of three processes: trip chain generation, origin-destination (OD) recognition and travel mode comparison. Drawing on Beijing as the case study, the smartcard dataset is processed for analyzing the spatial-temporal properties of passenger travel behavior and exploring potential travel demand of CB. The results indicate that the data have a workplace-oriented pattern and CB is suitable for passengers with long trip distances (beyond 8 km). These findings advance key points to future CB operation as it is associated with the route design and vehicle arrangement.
The increasing use of digital technologies has significantly reshaped marketing and consumer behavior (CB) as online communities and cutting-edge innovations such as artificial intelligence (AI) ...disrupt and advance consumer attitudes on specific products and services. As such, online communities that are supported by AI technologies creating new knowledge from consumer interactions through platforms like social media as consumers share experiences on specific products or services. Since AI is designed to "learn" and improve with data generated from digital technologies linked to consumer interactions, AI relies on consumer knowledge-sharing (KS) activities to replicate new knowledge for product and service improvement. However, given the knowledge gap in this area, this article applies the fsQCA technique to data generated from 291 participants to develop CB metaframework predicted on the concepts of AI, CB, and KS. Our results suggest that AI advances consumer attitudes and behaviors when knowledge is acquired while online communities promote curiosity and engage consumers to learn by sharing experiences about specific products or services. Furthermore, understanding the causality between AI, CB, and KS concepts offers critical decision-making insights to marketing experts across the industry.
The proper and reliable operation of circuit breakers (CBs) directly affects the reliability and continuity of electricity services in a power systems. Condition-based maintenance (CBM) is the best ...economic CB maintenance strategy through its online monitoring (OLM) possibilities. Since there is a large number of CBs in a power system, to equip all CBs with OLM systems is not economically justifiable however. This paper, as the second part of a two-part paper, presents an effective optimization framework to find the optimal number of CBs to be monitored online as the kernel of CBM process. To prove its feasibility, the proposed approach is applied to the IEEE Roy Billinton Test System, which includes 32 CBs. The impacts of interest rate and load interruption cost variations as well as nonoptimum selection of CBs for monitoring on the results are also discussed in this paper. The results of numerical analyses of the case study presented in this paper demonstrate how the proposed method can be employed for maintenance management of power system CBs.
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