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Digitizing of the electrical power grid promotes the advantages of efficient energy management alongside the possibilities of major vulnerabilities. A typical inadequacy that needs critical attention to ensure the seamless operation of the smart grid system remains in the data transmission between consumer premises smart devices and the utility centres. Many researches aim at establishing security protocols to ensure secure and efficient energy management resulting in perfect demand–supply balance.

In this paper, the authentication of the smart meter data has been proposed with enhanced Rivest–Shamir–Adleman (RSA) key encryption using an efficient way of generating large prime numbers. The trapdoor one-way function applied in the RSA algorithm makes it almost impossible for the reverse engineering attempts of cracking the key pair.

The algorithm for generating prime numbers has been tested both with the convention method and with the enhanced method of including a low-level primality test with a first few hundred primes. The combination of low-level and high-level primality tests shows an improvement in execution time of the algorithm.

There is a considerable improvement in the time complexities when using the combination method. This efficient generation of prime numbers can be successfully applied to the smart meter systems, thereby increasing the strength and speed of the key encryption.

In this chapter we develop a new approach, based on the identification of strategy classes, to study how firms face multiple demands. The procedure that we propose (called Relational Class Analysis) stems from an analysis of the similarity of associative patterns across multiple observable outcomes, which reflect the underlying set of choices firms make to similarly address demands. Empirically, the study of 18 financial and extra-financial performance outcomes for 3,655 firms shows the existence of three main strategic classes. Drawing on our analysis, we redefine strategy as the set of committed decisions undertaken to resolve trade-offs between multiple concurrent objectives and discuss the implications of our approach for eight core questions for strategy and organizational theory.

The purpose of this paper is to produce a critical history of MP3 technology in an effort to show how its stature as the digital music format of choice had nothing to do with music or associated industries and that its configuration as a product to be bought and sold was unintended.

The approach is reminiscent of Michel Foucault's critical histories, which sought to problematise our current understanding of existing cultural arrangements by unearthing the conditions that made the production of knowledge and their accompanying artefacts possible.

The paper documents how MP3s emerged by outlining the conditions that made its production viable, showing how before MP3s were profiled as commodities to be bought and sold online, the composite of technologies making up the standard MPEG1‐Layer III were objects of knowledge within the fields of electrical engineering and psychoacoustics, and later a process of compression used mainly by audio broadcasting professionals. The paper concludes by examining MPEG1‐Layer III's reconstitution as MP3: its formal configuration and valuation, first as a license for the broadcasting industry to compress sound and then as a “free‐ware” application distributed online.

The paper problematises the taken for granted status of commodities, in this case, MP3s, as digital music to be bought and sold, by revealing how they emerged. At a more parochial level, it produces a competing history of MP3 technology which until now has not been told.

The success of multinational enterprises (MNEs) is at least as much a function of management ability and behavior as it is of industry characteristics or environmental factors. These managers display human limitations that affect judgment. Yet International business (IB) researchers tend to ignore management in their research, treating the firm as a black box. To the extent top management team (TMT) is considered, rational behavior in classical economic sense is assumed. Behavioral elements were studied by others in different fields. Clearly, managers behave according to different rules than those assumed in much of the IB literature. Further, managers are not part of a herd but unique. The result of such a lacuna is that theory fails to predict actual behavior and does not allow best guidance for policy options. The chapter summarizes research on behavioral decision making and calls for its application in future research in international business.

The success of multinational enterprises (MNEs) is at least as much a function of management ability and behavior as it is of industry characteristics or environmental factors. MNE managers, like all managers, display human limitations, e.g., overconfidence that affect judgment. Yet IB researchers still tend to ignore management in their research, treating the firm as a black box. To the extent that the top management team is considered, rational behavior in the classical economic sense is assumed, yet, clearly, managers behave according to different rules than those assumed in much of the IB literature. Further, managers are not part of a herd, but unique. The result of such a lacuna is that theory fails to predict actual behavior and does not allow best guidance for policy options. The paper summarizes research on behavioral decision making and calls for its application in future research in international business.

To study the perception of dividends by the professional investor, for whom mutual fund managers are a proxy. The main line of research in dividends is based on using market data that are fit, ex post, to a cherished hypothesis. It is believed, however, that such data cannot measure motivation which is the underlying force behind generating market data. An understanding of motivation will give us more insight into the dividend paradox (why shareholders love dividends) than just the surface reality one can glean from market data.

Using a survey instrument, the method of analysis (not methodology) is factor analysis and hierarchical grouping that uncovers three distinct groups of professional investors re their attitude towards dividend. This categorization clearly shows that the dividends are perceived differently by the groups found here. Thus, research in dividends cannot follow a traditional route in which the phenomenon is treated as universal, or something similar to a natural occurrence.

Three groups from the more traditional: the more growth‐oriented, aggressive; and a middle‐of‐the‐road group are posited. Although there are some uniformly accepted tenets across the groups, nevertheless, the more traditional group attributes far more importance to dividends than the growth‐oriented group. The latter group perceives dividends as something needed to pacify the shareholder. It is also concluded that none of the academic hypotheses contrived to explain dividend behavior can be supported by empirical evidence. The interesting result is, nevertheless, that the ex post group performance is not significantly different between each possible pairing of the three groups.

As all empirical research goes, results cannot be all‐conclusive, because of time and participation in the sample. This fact alone should not grind to a halt all empirical work. This work is part of a segment of three different studies examining the perception of dividends by corporate managers, and across countries. The next logical step is obviously studying the perception of dividends by the non‐professional investor.

This kind of work was almost never done. This is a first, because unfortunately traditional research that dominates most finance journals does not believe that motivation counts. First, because it satisfies one's desire to better understand the dividend puzzle. But it should be of interest to all who want to study the dividend decision in the firm, and why shareholders love dividends, something entirely not rational as far as economic rationality goes.

In the 1990s, North American archivists and records managers shifted some of their concern with electronic records and record keeping systems to conducting research about the nature of these records and systems. This essay describes one of the major research projects at the University of Pittsburgh School of Information Sciences, supported with funding from the National Historical Publications and Records Commission. Specifically, the essay focuses on the project's four main products: recordkeeping functional requirements, production rules to support the requirements, metadata specifications for record keeping, and the warrant reflecting the professional and societal endorsement of the concept of the recordkeeping functional requirements.

The current happenings in the Ghana banking space and anecdotal evidence suggest that employees face psychosocial issues which impact their levels of work engagement. An intervention to manage these psychosocial hazards and promote work engagement among the employees is necessary. In effect, the study has proposed the promotion of a positive psychosocial safety climate (PSC) therein. Therefore, the purpose of this paper is to examine the moderating effect of PSC on the relationship between psychosocial hazards (i.e. work stress, workplace violence and workplace bullying) and work engagement.

The study gathered quantitative data from six commercial banks. Miller and Brewer’s (2003) sample determination formula was used to calculate the sample. The stratified random sampling technique was used to select the respondents. Questionnaires were used for the data collection, and Structural Equation Modelling was used to analyze the data from 543 usable responses.

Workplace bullying negatively predicted work engagement, whereas work stress and workplace violence had no significant effect on work engagement. PSC had a significant positive effect on work engagement. Furthermore, PSC only moderated the workplace bullying–work engagement relationship.

Based on the findings, PSC can be a national and organizational intervention promoted to create a positive psychological work environment devoid of such psychosocial hazards in the Ghanaian banking sector. Also, this will foster work engagement among the employees which will culminate into increased productivity.

Natural languages have a fundamental quality of suppleness that makes it possible to present a single idea in plenty of different ways. This feature is often exploited in the academic world, leading to the theft of work referred to as plagiarism. Many approaches have been put forward to detect such cases based on various text features and grammatical structures of languages. However, there is a huge scope of improvement for detecting intelligent plagiarism.

To realize this, the paper introduces a hybrid model to detect intelligent plagiarism by breaking the entire process into three stages: (1) clustering, (2) vector formulation in each cluster based on semantic roles, normalization and similarity index calculation and (3) Summary generation using encoder-decoder. An effective weighing scheme has been introduced to select terms used to build vectors based on K-means, which is calculated on the synonym set for the said term. If the value calculated in the last stage lies above a predefined threshold, only then the next semantic argument is analyzed. When the similarity score for two documents is beyond the threshold, a short summary for plagiarized documents is created.

Experimental results show that this method is able to detect connotation and concealment used in idea plagiarism besides detecting literal plagiarism.

The proposed model can help academics stay updated by providing summaries of relevant articles. It would eliminate the practice of plagiarism infesting the academic community at an unprecedented pace. The model will also accelerate the process of reviewing academic documents, aiding in the speedy publishing of research articles.

This research sets about discovering if it is possible to identify distinct, practice‐relevant and addressable clusters by means of selected criteria for constructing typologies – such as psychographic, culturally‐specific and purchasing behaviour‐relevant features – which permit an online supplier to efficiently and effectively focus on attractive consumer segments.

To answer the research question, the study conducted an online survey with 1,011 participants. The respondents were from three countries, each with culturally‐distinct features: France, Germany and the US. Underpinning the research are theoretically‐secured constructs of purchasing behaviour on the internet.

Cluster analysis confirmed the outstanding validity of a three‐cluster‐solution (97.7 per cent score) – risk‐averse doubters, open‐minded online shoppers, and reserved information‐seekers. Discriminant analysis shows that certain constructs, particularly “neuroticism”, “willingness to buy” and “shopping pleasure”, separate the clusters best.

An extension of our clustering approach to more countries and especially non‐western cultures promises interesting results. Furthermore, researchers are encouraged to enlarge the catalogue of clustering variables to allow an even more specific fine‐tuning of the main clusters identified in this research.

The classification created provides the potential for a much closer fit between a company's goods and services and heterogeneous customer needs.

The principal contribution of the paper is the identification of three different clusters of internet users. This can be of good use for shaping internet marketing, particularly by virtue of the likely stability over time from cultural and personality characteristics.