Search results

The present study investigates the antecedents of sharenting, underlying strategies to mitigate the privacy risks of sharing children's personally identifiable information (PII) and majorly explores the relationship between sharenting activities of the parents and their buying behaviour. The study corroborates the previous studies in an advanced manner and adds a new construct “sherub marketing” as an effective marketing tool to impact the buying decisions of the parents.

Following interpretative phenomenological analysis, semi-structured personal interviews were conducted towards actively engaged parents on social media. For inferential analysis, responses of 23 parents were analysed with the help of theoretical thematic analysis

The findings uncover the multifaceted reasons persisting behind sharenting activities of the parents and observe a strong relationship between sharenting and buying behaviour of parents. The study results into exploration of sherub marketing as an effective marketing tool to influence the actions of the sharenters.

The study will be of use to both the practitioners and the society as a whole as it indicates the ramification of parental sharing and the role of marketers in influencing the purchasing decisions of the sharenters.

The present study is a novice and untapped area in the literature of interactive marketing and sheds light on sherub marketing as an effective marketing strategy.

The duration between product design and its successful introduction into the market, also called “Time to Market”, emerges along with cost and quality as one of the crucial factors that decide competition. Considering this trend, several strategies and tools together with examples for a time‐minimising assembly automation are presented.

Scholars and practitioners in the OB literature nowadays appreciate that emotions and emotional regulation constitute an inseparable part of work life, but the HRM literature has lagged in addressing the emotional dimensions of life at work. In this chapter therefore, beginning with a multi-level perspective taken from the OB literature, we introduce the roles played by emotions and emotional regulation in the workplace and discuss their implications for HRM. We do so by considering five levels of analysis: (1) within-person temporal variations, (2) between persons (individual differences), (3) interpersonal processes; (4) groups and teams, and (5) the organization as a whole. We focus especially on processes of emotional regulation in both self and others, including discussion of emotional labor and emotional intelligence. In the opening sections of the chapter, we discuss the nature of emotions and emotional regulation from an OB perspective by introducing the five-level model, and explaining in particular how emotions and emotional regulation play a role at each of the levels. We then apply these ideas to four major domains of concern to HR managers: (1) recruitment, selection, and socialization; (2) performance management; (3) training and development; and (4) compensation and benefits. In concluding, we stress the interconnectedness of emotions and emotional regulation across the five levels of the model, arguing that emotions and emotional regulation at each level can influence effects at other levels, ultimately culminating in the organization’s affective climate.

Mothers sharing images and information on social media about their children is a contemporary cultural norm. While the practice has been heavily discussed in popular media, there is a lack of empirical research examining the phenomenon from the perspectives of parents and adolescent children in China. The current study aims to find out whether or not mothers and their children engage in discussions about sharenting and how adolescents negotiate their privacy concerns with their mothers.

The current study examined how parents and their children make sense of sharenting via semi-structured interviews with 16 Chinese mothers. In addition, the study enlisted 21 adolescents to examine their perspectives on sharenting. Data were analyzed using thematic analysis.

Results showed that although documentation is articulated as the primary sharenting motivation, identity management is a major drive behind sharenting. The dynamics between mothers and their children, as well as between adolescents and their parents, are also explored regarding the issues of consent, privacy and identity.

This study has theoretical implications for the communication privacy management (CPM) theory, as it underscores the dynamic nature of privacy management, shaped by cultural norms, family dynamics and evolving communication technologies. It also adds value for campaign practitioners to provide education programs on the serious consequences of sharenting.

This research serves as a starting point to further explore a child’s entrance to adulthood as our culture’s first true digital natives who will bear extensive online and offline identities.

The purpose of this study is to address the discrepancy between research that supports the service failure recovery and that which does not by examining customer satisfaction in the event of a service failure empirically.

The objective of the study was achieved by conducting role‐play experiments on undergraduate business students.

Analysis showed that a service recovery paradox is most likely to occur when the failure is not considered by the customer to be severe, the customer has had no prior failure with the firm, the cause of the failure was viewed as unstable by the customer, and the customer perceived that the company had little control over the cause of the failure.

This information should benefit service managers since service failures are common and typically trigger heightened customer attention. These findings may stimulate future research because the limitations of this study include the use of undergraduate business students and the examination of only one service setting. Nevertheless, this paper does demonstrate that, under the appropriate conditions, a customer can experience a paradoxical satisfaction increase after a service failure.

Nach den Ermittlungen des Niederländischen Statistischen Zentralamtes wurden 1969 von Januar bis Dezember in den Hotels der Niederlande 3 750 801 Ankünfte von Touristen mit 8 834 682 Übernachtungen verzeichnet. 1968 waren es 3 706 426 Ankünfte und 8 866 712 Übernachtungen. Darnach haben 1969 die Ankünfte in den Hotels um 44 375 oder 1,2% zugenommen, die Übernachtungen dagegen um 32 030 oder 0,4% abgenommen. Von den 1969 in den Hotels angekom‐menen 3 750 801 Touristen waren 2 054 706 = 54,8% Aus‐länder und 1 696 095 = 45,2% Niederländer, von den 8 834 682 Übernachtungen entßelen 4 998 743 = 56,6% auf die Ausländer und 43,4% auf die Niederländer. 1969 haben sich die Ankünfte der Ausländer gegenüber 1968 um 125 790 oder 6,5% vermehrt, die Ankünfte der Niederländer aber um 81 415 oder 4,6% vermindert. Ein ähnliches Bild bietet die Entwicklung der Übernachtungen. Die Zahl der Ausländerübernachtungen hat sich 1969 um 257 151 oder 5,4% erhöht, die der Niederländerübernachtungen ist dagegen um 289 181 oder 7% niedriger geworden.

Many power producers are looking for ways to develop smarter energy capabilities to tackle challenges in the sophisticated, non-linear dynamic processes due to the complicated operating conditions. One prominent strategy is to deploy advanced intelligence systems and analytics to monitor key performance indicators, capture insights about the behavior of the electricity generation processes, and identify factors affecting combustion efficiency. Thus, the purpose of this paper is to outline a way to incorporate a business intelligence framework into existing coal-fired power plant data to transform the data into insights and deliver analytical solutions to power producers.

The proposed ten-step business intelligence framework combines the architectures of database management, business analytics, business performance management, and data visualization to manage existing enterprise data in a coal-fired power plant.

The results of this study provide plant-wide signals of any unusual operational and coal-quality factors that impact the level of NO_x and consequently explain and predict the leading causes of variation in the emission of NO_x in the combustion process.

Once the framework is integrated into the power generation process, it is important to ensure that the top management and the data analysts at the plants have the same perceptions of the benefits of big data and analytics in the long run and continue to provide support and awareness of the use of business intelligence technology and infrastructure in operational decision making.

The key finding of this study helps the power plant prioritize the important factors associated with the emission of NO_x; closer attention to those factors can be promptly initiated in order to improve the performance of the plant.

The use of big data is not just about implementing new technologies to store and manage bigger databases but rather about extracting value and creating insights from large volumes of data. The challenge is to strategically and operationally reconsider the entire process not only to prepare, integrate, and manage big data but also to make proper decisions as to which data to select for the analysis and how to apply analytical techniques to create value from the data that is in line with the strategic direction of the enterprise. This study seeks to fill this gap by outlining how to implement the proposed business intelligence framework to provide plant-wide signals of any unusual operational and coal-quality factors that impact the level of NO_x and to explain and predict the leading causes of variation in the emission of NO_x in the combustion process.

This paper empirically assesses energy efficiency (EE) adoption among firms by examining the factors that drive investment in EE in the Onitsha plastic cluster, South-East, Nigeria.

Self-administered questionnaires were delivered to the selected enterprises. A total of 450 questionnaires were administered of which 423 were certified valid and used for the analysis. A Heckit model was developed and estimated.

Gender, firm size, Joneses effect and expected cost reduction benefits are the significant determinants of EE investment. However, firm structure, government incentives, regulatory requirements and reduction of carbon emission are insignificant drivers of EE investment decisions in the Onitsha plastic cluster.

This paper presents a foremost attempt at analysing the determinants of energy investment in a cluster in Nigeria.

The purpose of this paper is to provide a feature‐based characterization of version control systems (VCSs), providing an overview about the state‐of‐the‐art of versioning systems dedicated to modeling artifacts.

Based on a literature study of existing approaches, a description of the features of versioning systems is established. Special focus is set on three‐way merging which is an integral component of optimistic versioning. This characterization is employed on current model versioning systems, which allows the derivation of challenges in this research area.

The results of the evaluation show that several challenges need to be addressed in future developments of VCSs and merging tools in order to allow the parallel development of model artifacts.

Making model‐driven engineering (MDE) a success requires supporting the parallel development of model artifacts as is done nowadays for text‐based artifacts. Therefore, model versioning capabilities are a must for leveraging MDE in practice.

The paper gives a comprehensive overview of collaboration features of VCSs for software engineering artifacts in general, discusses the state‐of‐the‐art of systems for model artifacts, and finally, lists urgent challenges, which have to be considered in future model versioning system for realizing MDE in practice.

This research used a Phenomenography approach of Eye Tracking to study the Biometric changes when participants were subjected to eight static subliminal images hidden in seven differently designed packages. Embeds or static subliminal stimulus in the form of pictures and words were hidden in seven different perfume packages and were used to study the changes experienced between the two groups, one of which was subjected to subliminal stimulus. This study was conducted in the Neuro Lab located in the SP Jain Sydney campus. A total of 46 healthy participants were separated into two groups, with one group shown image packages with static subliminal stimulus while the other group was shown image packages without any subliminal stimulus. Eye Tracking data was collected using iMotions. A detailed analysis of the Area of Interest (AOI), Fixation and Heat Map revealed that only a percentage of the participants visited the AOI with the hidden subliminal stimulus, but the participants who noticed the AOIs with the subliminal stimulus especially the male participants spent more time in the AOI indicating that they could be consciously processing the subliminal static stimulus. A statistical analysis of the time to first fixations (TIFF) revealed that the subliminal stimulus was not the first point of attraction.