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University campuses are one of the major consumers of electricity. Therefore, it is important to investigate factors related to electricity saving. This study aims to examine the key drivers in achieving efficient electricity management (EEM) practices in public universities.

To achieve the objective, 23 drivers of EEM practices were identified through a comprehensive literature review and an empirical questionnaire survey was performed with 1,386 electricity end-users of three public universities having staff and students’ halls of residences in Nigeria. The collected data were analyzed using the statistical package for social sciences (SPSS version 21) to identify the number of components that could represent the 23 identified drivers.

The relative importance index ranking results indicated that 18 drivers were critical. The top five most critical drivers were understanding of the issues, understanding the vision and goal of an energy management programme, knowledge and skill, risk identification and good and effective communication among relevant stakeholders. An exploratory factor analysis revealed that the underlying grouped drivers were raising awareness, top management support and robust energy management team, risk management and stakeholders’ participation. This study also indicates that the most dominant of the four underlying groups was raising awareness, which highlights the role of increasing awareness and public consciousness as a significant catalyst in promoting EEM practices in public universities.

Geographically, this study is limited to the opinion of respondents in public university campuses in Nigeria. Although this study could form the basis for future studies, its limitation must be considered carefully when interpreting and generalizing the results.

This paper has highlighted a few drivers of EEM practices in public universities. The results of this study present scientific evidence that can be used as a basis for formulating public policies that could be incorporated into the energy management regulations of university buildings. It is most important for policymakers to pay adequate attention to the most critical drivers especially those that are related to the “raising awareness” factor to promote sustainable campuses.

This study provides practical knowledge for university management to develop effective methods to implement the identified drivers of efficient and sustainable electricity management on the campus. This study also contributes to the body of knowledge in the field of energy management.

Through the use of website usability literature and tourism website analysis and experience, this theory proposes that user satisfaction on the website relates to six key drivers. The six drivers are crucial offerings of a tourism website and without successfully applying them the website may fail to meet the requirements of the end user. The six drivers for high website usability include tourist details, site appearance/usability, deals/promotions, segment marketing, foreign focus, and use of social media. This chapter puts the theory to action during an analysis of three northeastern states’ tourism websites. This study analyzes the tourism websites of New York, Massachusetts, and Maine using the six key drivers. The analysis demonstrates areas of strength and development for each state and directly ties back to the six drivers of user satisfaction for tourism websites.

Carbon reduction in the construction supply chain can critically affect the construction industry’s transition to an environmentally sustainable one. However, implementing carbon reduction in all parties is restricted because of the poor understanding of the drivers influencing the low-carbon construction supply chain (LCCSC). The purpose of this paper is to systematically identify the drivers of LCCSC, analyze their causality, and prioritize the importance of their management.

A decision-making analysis process was developed using an integrated decision-making trial and evaluation laboratory (DEMATEL)–analytical network process (ANP). First, the hierarchical drivers of the LCCSC were identified through a literature review. The DEMATEL method was subsequently applied to analyze the interactions between the drivers, including the direction and strength of impact. Finally, the ANP analysis was used to obtain the drivers’ weights; consequently, their priorities were established.

Various factors with complex interactions drive LCCSC. With respect to their influence relationships, incentive policy, regulatory policy, consumers’ low-carbon preference, market competition, supply chain performance, and managers’ low-carbon awareness have more significant center degrees and are cause drivers. Their strong correlations and influence on other drivers should be noticed. In terms of weights in the driver system, regulatory policy, consumers’ low-carbon preference, supply chain performance, and incentive policy are the key drivers of LCCSC and require primary attention. Other drivers, such as supply chain collaboration, employee motivation, and public participation, play a minor driving role with less management priority.

Despite some contributing studies with localized perspectives, the systematic analysis of LCCSC drivers is limited, especially considering their intricate interactions. This paper establishes the LCCSC driver system, explores the influence relationships among the drivers, and determines the key drivers. Hence, it contributes to the sustainable construction supply chain domain by enabling decision-makers and practitioners to systematically understand the drivers of LCCSC and gain management implications on priority issues with limited resources.

In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize factors in a framework. Thematic analysis subsequently revealed 18 selective codes under three groups of drivers, barriers, and outcomes. These three groups were explained by four key aspects including organization, stakeholders, infrastructure, and business environment that set a framework for the digitalization of construction. The study finally concluded digitalization strategies with a focus on support mechanisms, government incentives, regulations, the transition from manual labor to technicians, organizational technology culture, methodology development, and innovation processes. Such strategies provide insight into prioritizing resources towards smooth digital transformation in construction businesses.

A two-stage methodology is adopted by undertaking a systematic literature review followed by thematic content analysis. This work concludes with an analysis of remaining research gaps and suggestions for potential future research.

In this paper, a systematic review of 284 articles published between 2015 and 2022 and a full-text thematic analysis of 70 selected articles was conducted to catalog and synthesize variables in a framework. Thematic analysis subsequently revealed a set of variables and factors describing construction digitalization under three groups of success factors, barriers, and outcomes. A critical content analysis of the representative studies was conducted to identify five future research trends as well as associated research gaps and directions on the topic.

This study contributes to practice by providing directions concerning the key strategies and priorities associated with the digitalization of construction businesses.

This ground-breaking research brings to light a classified set of factors that are important for the digitalization of construction businesses. The elicited framework contributes to the current body of knowledge by offering a unique conceptualization of both driving and adverse aspects for the seamless digital transformation of construction.

The purpose of this paper is to identify the key drivers of share of wallet for credit cards issued by either a credit union (CU) or bank using a Wallet Allocation Rule (WAR) framework.

A survey approach engaging 1,649 current CU members at nine CUs regarding their use of 3,487 different credit cards is employed. Binary logistic regression is used to discriminate when CU issued vs bank issued credit cards are perceived to be “best” by their owners.

This research indicates the key drivers differ significantly when CU members prefer a CU-issued credit card vs a bank-issued credit card. For example, CU-issued credit cards are attractive to some CU members because of prior relationships with the CU and offering lower interest rates on revolving balances. By contrast, customers who choose a bank-issued credit card are much more likely to be driven by the rewards offered on the card.

Using the WAR key driver approach, managers can identify differentiating attributes that influence customers’ perceptions of their rank vis-à-vis competition and thereby grow share.

This research provides a significant contribution to both the banking literature and the scientific literature by examining the robustness of a relative metrics approach within the retail banking and CU market. It represents the first empirical analysis of a WAR key driver approach in the scientific literature.

The relationship between citizens and government has been gradually changing from government centered to citizen centered. These changes can be understood from the public value perspective, which is a promising way to foster the use of electronic services (e-services) by citizens. The purpose of this paper is to analyze how key drivers for public value creation can enhance adopting electronic public services by citizens. The use of e-services as a basis for applying smart technologies is also discussed.

A qualitative study based on both a systematic literature review and a case study of an e-service provided by a Brazilian state government.

The study identifies that creating public value happens only after adopting e-services and that public value can be perceived directly by those who use the service or indirectly by the observation of people who have adopted it. A two-dimensional framework showing the direct and indirect factors that drive public value creation is proposed based on the data collection and literature review.

The proposed conceptual framework remains untested and the data collection in the Brazilian context might be a limitation. Other studies could gather data based on the collective uses of e-services.

The framework can be used in other studies concerning public value creation. Public managers might consider its drivers when planning e-services as a way to link them to social, political and collective issues in addition to smart technologies.

Many companies focus considerable resources on managing and enhancing positive word of mouth (WOM). WOM management, however, has become increasingly complex given the rise of online channels and the corresponding increasing breadth of connections giving and receiving WOM. Given the generally believed importance of WOM to business outcomes, managers seek to leverage key drivers that they believe will enhance positive and minimize negative WOM.

Implicit in these actions is the belief that leveraging key drivers to enhance positive (or minimize negative) WOM results in generally positive outcomes across channels and connections. This research investigates whether this belief is correct. We examined WOM behaviors from over 15,000 consumers from 10 different countries in eight industry categories, as well as consumer attitudes toward the various brands investigated. Our findings indicate that efforts to enhance positive WOM typically have mixed effects – enhancing positive WOM in some channels while decreasing it (or even enhancing negative WOM) in other channels. Therefore, managers need to have a greater understanding of the complexity of leveraging attitudinal key drivers when seeking to enhance WOM to minimize potential negative outcomes.

On the basis of lessons gleaned from previous research into successful strategic marketing practices in times of both recession and growth, and in the face of an ongoing post-global financial crisis “hangover” characterised by unpredictable trading conditions both worldwide and in the Asia-Pacific region, the purpose of this paper is to provide insights and advice for marketing strategists within New Zealand’s manufacturing sector.

The inquiry is based on two point-in-time mail surveys, one during recessionary conditions and the other during favourable economic conditions, with similar samples of 427 and 272 New Zealand manufacturers, respectively. Data analyses were conducted using SPSS and sought to compare and contrast successful strategic marketing decision making between the two time-points.

The results confirm that, irrespective of prevailing economic circumstances, basic strategic marketing plays a pivotal role in facilitating the competitive success of New Zealand manufacturers. However, with the notable exception of three “evergreen” practices – targeting selected market segments, competing on the basis of value-to-the-customer, and finding new ways to do business – the results also suggest that different economic conditions otherwise necessitate quite different priorities for success at each stage of the strategic marketing decision-making process.

Due to relatively low-response rates, the extent to which the study samples are representative of the population under scrutiny remains unknown. Also, since an identical questionnaire was administered at two time-points ten years apart, differences in the respondents’ interpretation of certain questions and some of the marketing vocabulary and terminology used cannot be ruled out.

The research highlights the important contribution that strategic marketing makes to the achievement of competitive success in New Zealand’s manufacturing sector. It also identifies some of the underlying “key drivers” that best predict successful strategic marketing decision making in times of recession compared with growth, thereby indicating a number of key lessons for marketing strategists.

This study addresses a number of gaps in the empirical marketing literature. Although many previous studies have shown various strategic marketing activities to be critical to competitive success, few have examined it as a multi-step decision-making process and none have done so in the context of New Zealand manufacturing. Nor have previous studies sought to compare and contrast effective strategic marketing decision-making set against the background of contrasting economic circumstances.

Business leaders can face unique challenges in attracting, retaining, and developing an engaged workforce in today's global organizations. However, insights can be provided by examining a firm's Employee Value Proposition (EVP) as seen by employees, as well as carefully exploring drivers of employee engagement to equip executives and managers to overcome these challenges. This chapter uses results from Valtera's Annual Global Employee Survey to highlight the potential for leveraging survey data, analyzed at the country level, to best align and tune their human capital strategy and programs to operations and labor markets around the world. Examples of unique EVP profiles and key drivers of engagement from six countries in Asia, Europe, and Latin America are provided to illustrate important differences organizations need to consider in optimizing their approach to global human capital management.

The innovation of business model (BM) is a strategic process for many firms, from which depends competitiveness and sustainability. Despite its theoretical relevance in management sciences, research on business model innovation is in its infancy and lacks of research consistency and theoretical connections to the theme of “performance”. With the aim to contribute in bridging this gap, this paper aims to identify and analyse drivers of business model innovation performance.

This research is based on an integrative literature review methodology.

BMI performance drivers are conditions related to various dimensions (i.e. processes, resources, market, BM structure, etc). that, when fulfilled, allow the BMI to have higher performance. BMI performance drivers are antecedents of BMI performance, and their identification is of both theoretical and practical value. The authors find and report a set of 35 BMI performance drivers.

The value of this research is both theoretical and practical. From a theoretical point of view, the identified “Business Model Innovation performance drivers” define and identify a variable of BMI performance, from a practical perspective, and they provide a comprehensive set of key conditions whose attainment should be planned, pursued and monitored by managers.