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This study investigates the effect of keyword portfolio characteristics on sales in paid search advertising. The authors propose two keyword portfolio characteristics (variety and disparity) and examine the effects of portfolio variety and portfolio disparity on direct and indirect sales in both PC and mobile environment.

By conducting a field study at a large e-commerce platform, the authors use a negative binomial model to develop empirical findings that provide insights into paid search advertising strategies.

For main effect, (1) portfolio variety has a negative effect on direct sales. However, (2) portfolio disparity has positive effects on both direct and indirect sales. Advertising channels influence the contribution of keyword portfolio to sales. (3) On mobile devices, portfolio variety positively affects both direct and indirect sales. However, portfolio disparity negatively affects both direct and indirect sales. (4) On PCs, portfolio variety negatively affects both direct and indirect sales. However, portfolio disparity positively affects both direct and indirect sales on PC.

The findings provide advertisers with insights into how to manage keyword portfolio between mobile devices and PCs.

The current study shifts the attention from keyword to keywords (keyword portfolio), which extends the paid search literature. Moreover, it also contributes to the literature by comparing the relative effectiveness of mobile and PC search advertising.

This study aims to address the following research questions: Do the two types of service firms (individual or aggregator) have similar competitiveness on online search ads? How should the two types of service firms select optimal branded keywords to improve search performance? In addition, how do consumers’ search queries influence the service search performance of the two types of service firms?

In this study, the authors conduct an empirical analysis by building a two-stage choice modeling on the process of search engine ranking and consumer click-through decisions. The authors estimate the parameter coefficients and test the hypotheses using maximum likelihood estimation in the logistic regression model.

The empirical findings suggest that consumer response rates are highly dependent upon three aspects (service types, branded keyword strategy and consumer search query). First, the authors found that service aggregators receive greater consumer responses than individual service providers. Second, depending upon the various branded keyword strategies (e.g. generic vs branded, “within-type” vs “cross-type”) implemented by service aggregators or individual firms, the expected consumer responses could be quite different. Finally, customer’s search query, being either generic or branded, also has direct effect and interactive effect with service type on how consumers would response to the sponsored ads in the service search process.

The limitation of the research is twofold. First, conversion rate is not considered in the model estimation due to the nature of the data set. Second, the discussion about the keywords selection strategies is focusing on the hospitality industry. Future research shall further validate the generalizability into other industries.

First, given this competitive advantage, service aggregators should take an aggressive approach to adopting paid search strategy in acquiring new users and enhance its brand salience in the service ecosystem. Second, when considering other competitor’s brand names to include, if a firm is a service provider (e.g. hotel), a strategy that can help it receive higher consumer response would be to use “within-type” rather than “cross-type” branded keyword strategy. If a firm is a service aggregator, a better branded keyword strategy would be to use “across-type” instead of “within-type” approach. In addition, given that consumer’s brand awareness can influence the effectiveness of branded keyword strategy, online service search should target consumers in earlier stages of a decision journey.

The authors believe their theoretical framework can provide actionable solutions to service firms to ease customer’s search process, increase customer’s stickiness using search engines and add value to the customer relationships with all services entities within the digital ecosystem.

This study is the first to expand online search marketing into granule examinations (main and interactive effects of three key factors) in the service search domain. First, the authors differentiate service firms into two categories – online travel aggregators and individual hotels in the model. Second, the authors introduce two sets of new classifications of branded keywords for online service search research (i.e. own versus other brand and “cross-type” versus “within-type” branded keywords). Third, this study integrates service consumers’ search word specificity into the conceptual framework which is often missing in previous online search research.

The purpose of this article is to explore the new concept of TQM 4.0 as a way of adapting quality management (QM) in Industry 4.0 (I4.0), guiding industries to this new phase, which has generated adaptations in numerous areas, one of which is QM and human resources.

A systematic review of the literature was carried out. Methodi Ordinatio was applied to build the portfolio of articles with scientific relevance, which is the source of data collections and content analysis. To help out in the analysis, NVivo 12 and VOSviewer software programs were used.

The results demonstrate that when adapting the QM to the technologies of I4.0, the result is an ecosystem that supports the integration between technology, quality and people in the industrial scenario.

This article presents a systematic review of the literature, but without delving into specific issues such as the different industrial sectors and the culture of countries in which industries may be inserted, for example, which characterizes a limitation of this research.

This study provides an ecosystem model that can guide future research, regarding the concept of TQM 4.0, in addition to pointing out some ways of combining technologies, quality and people in the industrial context.

This is one of the first articles to employ a systematic review of the literature using Methodi Ordinatio to build a bibliographic panorama on the intertwining of the themes total QM (TQM) and I4.0, focusing on the emerging concept of TQM 4.0.

This study aims to examine the characteristics of scientific publications that address the management of higher education institution (HEI) libraries from a sustainability perspective, through a bibliometric analysis, to contribute to the development of knowledge and to identify opportunities for further research.

The knowledge development process-constructivist instrument was used to select a portfolio of 24 articles that are scientifically acknowledged and aligned with the theme “Sustainable Management of Libraries in Higher Education Institutions” and delimited by the authors. This study, guided by a constructivist perspective, was carefully conducted to discern selections that differ from traditional definitions. The analysis followed a qualitative approach and used the following variables: fruitful authors, connection networks between authors and vision of sustainability (the degree of dimensional coverage).

The analysis of the literature highlighted the partnerships of authors from countries belonging to the American continent as the most involved in research on the subject and the evolution from a one-dimensional view – centred on the environment – to a multidimensional view.

The understanding is that library management in HEIs, from a sustainability perspective, is an essential aspect of institutional legitimacy for the stakeholders. Therefore, sustainability should be treated in a multidimensional way and integrated with the institution’s values.

The purpose of this paper is to introduce methodology and findings of a trend study in the field of e-learning. The overall interest of the study was the analysis of scientific e-learning discourses. What comes next in the field of academic e-learning? Which e-learning trends dominate the discourse at universities? Answering such questions is the basis for the adaptation of service strategies and IT-infrastructures within institutions of higher education.

Which e-learning formats dominate the current scientific discourse? To answer this question, a trend study based on a content analysis was performed. The abstracts of 427 scientific articles of leading German-speaking e-learning conferences Gesellschaft für Medien in der Wissenschaft and E-Learning-Fachtagungen der Gesellschaft für Informatik e. V. (GMW and DeLFI) – published from 2007 to 2013 – were examined. A category scheme was derived from the Horizon Report. The category scheme then was gradually expanded and adapted to the data material during the investigation.

This paper found that the detailed analysis of the frequency distribution over the seven years reflects the intensity of scientific discussion towards e-learning trends within the investigation period, and conclusions about the didactical or technical potentials of innovations can be drawn because both conferences are different in terms of their objective. The authors also classified the life stages of selected innovations based on the Gartner hype cycles, and the striking findings of the study will be formulated in the form of assumptions, which reflect the development potential of learning management, mobile learning, virtual worlds, e-portfolio, social media and Massive Open Online Courses in German Higher Education.

Only abstracts of the selected contributions were investigated. Errors in the category allocation due to unclear terminology cannot be excluded. Organisers of the investigated conferences often define the (main) topics. This influenced the spectrum of represented topics overall, as well as the focus of individual contributions. The above-presented study was conducted at German-speaking conferences and, therefore, reflects the situation in Germany, Switzerland and Austria. No conclusions about actors or institutional relationships can be made, in contrast to the original assumptions of discourse analysis. The categorial classification of contributions does not allow any conclusions about the quality of the discourse.

The study shows how proceedings of scientific conferences can be used for trend studies. It became clear that discourse analytical studies can be used complementary to other methods of future studies. The advantage of this methodology lies mainly in the easy access to the text material, as conference proceedings are mostly available online. In addition, the analysis of large amounts of data (or texts) can be greatly facilitated by use of digital technologies (e.g. by automatic analysis of keyword). This paper makes an important contribution to the diffusion of digital media in higher education.

The paper identifies the need for a portfolio approach to the management of real estate assets, and sets out its key components as a ‘macro’ level process. Portfolio management is positioned within an overall model of the corporate real estate function, from which a definition is developed. The main generic components of real estate portfolio management are described, and the most significant findings from a survey of current practices among a group of corporate organisations are presented. The paper concludes that in overall terms a more robust approach to the portfolio management of real estate assets is required to maximise the portfolio’s functional and financial value to the business.

The Corporate Real Estate Portfolio Alliance performed extensive research into corporate real estate portfolio management and developed a number of new practices and analytical methods. A number of papers in this issue of the Journal of Corporate Real Estate resulted from the research. This paper provides an overview of the corporate real estate organisations and researchers involved, the research methodology and its findings.

Considers the role of property in a multi‐asset portfolio and highlights the need for property to be subject to the same analytical framework as other assets in the portfolio. Discusses the principles of portfolio construction, consisting of development of economic scenarios; forecasts of return on asset classes; asset allocation and portfolio construction; and stock selection. Sets out a strategic framework for the construction of a property portfolio, which involves an explicit consideration of risk and return relative to an appropriate benchmark. States that both the structure and stock of the fund need to be considered. Suggests that most of the published work on the subject is seriously flawed by inadequate data.

Examines the role of property in a portfolio investment context. Demonstrates that the return an asset is required to achieve depends on the variability and correlation of returns and not simply average returns. Shows that property, as measured by the Jones Lang Wootton Index, should have been included in institutional portfolios using both nominal and real returns, even if the variability of property was more than doubled. Suggests that property portfolios still offer considerable benefits to existing gilt/equity dominated funds in terms of improved risk‐adjusted performance.

Although real estate represents a substantial proportion of the UK investment market, research in this area is extremely limited. This is particularly true of the performance and construction of portfolios. This paper deals with one of the major issues which confronts both investor and advisor; namely, how effective is the diversification of a real estate portfolio as more properties are included. The analysis is undertaken at an empirical level and draws on similar research developed in the stock market. The main findings are that the low correlation between returns on individual properties enable high levels of risk reduction to be achieved. This correlation structure does, however, impose a penalty making it extremely difficult to construct highly diversified portfolios. The problem is exacerbated by the indivisibility of real estate assets.