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The purpose of this paper is to explore the relationship between cultural intelligence (CQ) and adult demographic profiles in the workplace.

This cross-cultural study used a self-reported demographic and a 20-item CQ scale. The demographic and CQ level of 287 adults working in Oman from different countries was evaluated.

The mean total CQ score of adults working in Oman was 4.77 + 1.53. Out of the four dimensions, this study founds higher values relating to motivational CQ followed by metacognitive and behavioral CQ with mean scores 5.22 + 1.53, 5.13 + 1.57 and 4.59 + 1.54, respectively. Significance, between-group differences (gender, age, job level, sector type, education level, nationality and study abroad), were observed in metacognitive and motivational dimensions of CQ (p < 0.001). All the regression models are significant, indicating that they express a meaningful relationship between each of the dependent variables and the variables in the model. The total CQ model explains 10.7% of the variance.

The results of this study provide additional insight to researchers in identifying the demographic profiles which predict the level of total CQ. The use of a longitudinal design to further confirm the results of this study is proposed.

The study helps practicing managers to understand the implications of cultural Intelligence and how it influences employee behavior from the perspectives of demographic perspectives.

The CQ levels of adults working in Oman vary according to their demographic profiles and the demographic profiles predict the CQ levels.

Few studies have explored the work challenges and career barriers faced by women in the Kingdom of Saudi Arabia (KSA). Drawing on Institutional Theory, the purpose of this paper is to explore the experiences of employed Saudi women through in-depth interviews.

The paper employs a phenomenological qualitative approach drawing on 12 in-depth semi-structured interviews with Saudi women.

The findings reveal a significant number of prominent societal and organizational structural and attitudinal barriers to the advancement of Saudi women in paid employment. Among others, these barriers include a lack of mobility; the salience of gender stereotypes; gender discrimination in the workplace; limited opportunities for growth, development, and career advancement; excessive workload caused by a lack of family-work balance; and gender-based challenges related to dealing with pregnancy.

Despite the contributions of this study, it also has limitations, particularly the convenience sampling approach and the focus on the KSA. The small sample size means that the findings cannot be generalized to all women employed in Saudi Arabia and should be generalized within Saudi Arabia and other Arab societies only with caution.

The paper contributes to the understanding of work challenges and barriers of Saudi women in the workforce. It provides fresh insights to the issues surrounding women in Saudi Arabia and the need to address them in order to provide support for their career advancement.

Michael Porter's Five Forces Model provides an ideal mechanism and framework to study the Oman telecommunications industry's competitive structure. The purpose of this paper is to use this model to identify the competitive forces that affect it the most.

This paper is based on empirical research. The data were collected primarily from secondary sources such as published interviews of chief executive officers of the telecommunication companies in Oman, government reports, and Telecommunication Regulatory Authority of Oman (TRA). The authors then used Michael Porter's five forces model to investigate the competitiveness of the telecommunication industry in Oman.

The analysis shows that the strongest competitive forces in the industry are rivalry among competitors and threat of substitutes. While the threat of entry and power of buyers also having a significant impact, the power of suppliers is of very limited impact. Hence, the five forces model impacts uniformly on all the players in Oman's telecommunication market and have important strategy implications for them all. The results of this analysis are then used as a critical tool to formulate effective strategies for industry players in the face of the changing dynamics of telecommunication services industry in Oman.

This study is one of the few papers that attempted to study the telecommunication industry in Oman in depth. However, this is the first research study that investigated the competitive landscape of this industry using an established framework such as Michael Porter's five forces model. As such, the study brought to light new insights and paradigms in competing in the telecommunication industry in Oman. This study also suggests new strategic directives to the incumbents, new entrants, buyers and suppliers.

The purpose of this study is to explore the key cultural factors that shape the Arab style of buyer-seller negotiations in the industrial goods sector; formulate propositions predicting behaviors of empowered buyers, avoidant buyers and deciders in an expensive industrial purchase situation; and develop a model of communication structure in an industrial buyer firm in the Arabian Gulf. In addition, the study advances propositions concerned with the bargaining style of Arab industrial buyers and the relationships between industrial sales effectiveness and negotiation tactics.

The study draws on literature in the domains of industrial buying behavior, influence tactics in industrial buyer-seller negotiations and communication in industrial buyer-seller bargaining interactions.

The more expensive an industrial purchase is the more empowered buyers will tend to anticipate the wishes of and seek the endorsement of powerful stakeholders, the more avoidant buyers will tend not to take responsibility for the purchase and the more decision makers will tend to rely on unwritten and formal rules and consult with influencers, subordinates and peers. Aggressive bargaining is unlikely to be used by Arab industrial buyers, who prefer a problem-solving approach. Sales effectiveness will be higher when industrial vendors incorporate tactics of ingratiation and inspirational appeal to influence Arab industrial buyers.

The study offers a systematic examination of industrial purchasing characteristics through the lens of Arab culture. It synthesizes several literature streams, develops eight original research propositions and proposes a new conceptual model of the communication structure in an industrial buyer firm in the Arabian Gulf.

The purpose of this paper is to examine how domestic airlines benefit when they have code sharing arrangements with international carriers.

The data for this research study have been collected primarily from three sources. The first database, the digest of statistics no. 400 is from International Civil Aviation Organization (ICAO) based in Montreal, Canada. The second source of data comes from the Airline Business database. The third source of data for this research study is from Official Airline Guide (OAG). Ten years of data from 1994 to 2004 are collected from the databases of ICAO, Airline Business and also from individual airlines. Data such as the revenue passenger miles (RPMs) and load factor are obtained from the ICAO database and data such as alliance pattern are culled from the Airline Business database.

This research study reveals that code sharing agreements between a domestic and international airline will benefit the former by way of increased RPMs, passenger load factor (PLF), and market share. However, the coefficients of the hypothesized variables suggest that the initial gains achieved by the domestic airlines by way of increased RPMs start to erode in the long run. Thus, a domestic airline must form a code sharing agreement with an international airline at the earliest, so as to get the initial increase in RPMs. The effect of code sharing on the market share of domestic airlines is explicit and consistent throughout this research study. The second dimension in the code sharing is the multiple alliances between domestic and international airlines. Multiple alliances refer to an airline having more than one code sharing agreement with international carriers. The third factor in this sequence of hypotheses is equity investment by international carriers in domestic airlines. The relationship between equity investment and its influence on the performance of the targeted firm is always an interesting topic explored by both the academic researchers and practitioners. However, in this study, the regression results do not support the hypothesis. That means that mere equity investment by international carriers in domestic airlines may not result in increased RPMs, load factor and the market share for domestic airlines. The interesting finding in this particular section is the influence of the large size of the alliance partners on all the three dependent variables; RPMs, PLF, and the market share. Therefore, we can conclude that if both the airlines are large enough and they form code sharing agreements, then this may result in increased RPMs, PLFs, and market share for the domestic airlines. Similarly, the study supports the premise that if the partners are unequal, then the domestic airlines may not be able to increase the RPMs, load factor, and the market share.

This paper reveals that code sharing arrangements reached earlier in the competition is better as the benefits tend to reduce after a certain period of time.

Nowadays, firms are keen on improving the quality culture in the organizations. The proven success of Lean and Six Sigma has given rise to the synergetic Lean Six Sigma (LSS) approach that has been catching fire in the past one decade. However, there exists a gap between the understanding and implementation of LSS in the organizations, especially in the emerging economies. Taking this as a valuable opportunity, the purpose of this paper is to present a development of LSS training module.

This study starts with a literature review of LSS to reinforce the understanding of the research subject in scope of manufacturing sector. Then, an online questionnaire was designed and used to collect responses from 181 companies located in the Indian sub-continent. Subsequently, the results obtained from the survey were analyzed using COARSE approach.

This study reveals two key findings and associated contributions. First, it was found that the overall awareness of LSS within the responded manufacturing firms is about 70.4 percent. Second, there is no single standard training module that exists in any of the sampled firms to cater to their quality programs. Hence, in order to improve the LSS awareness which could subsequently help managers as a resource for creating an efficient workplace, this paper presents a structured LSS training framework.

Although this paper presents the importance of LSS and associated awareness level among the responded firms, more empirical evidence is required to generalize the model findings. Second, this study is scoped to firms that work out of the Indian sub-continent, and this provides a future opportunity to expand the scope of this research toward a global study for a comparison between emerging and developed economies. Third, this study is limited to manufacturing firms and hence paves an opportunity to research on a similar theme in services context as well.

Before embarking on an LSS journey, an organization can use the LSS training module proposed in this study to assess the employee awareness on LSS. Furthermore, organizations that already have a mature LSS practice can incorporate the LSS training module for periodic evaluation of the employees for effective change management.

The training module presented in this paper is the original contribution by the authors. This is no association to any single identifiable organization or associated funding. The direct practical implication of its application in real time is the value that managers could derive from the proposed LSS training framework.

The purpose of this paper is to investigate the relationship between consumer-based brand equity (CBBE) – conceptualized as consisting of brand awareness, perceived quality, brand associations, perceived value and brand loyalty – and market share for different brand types (global versus local) in different country groups (developed versus emerging).

This paper combines consumer–survey-based data, experts' coding and retail panel data of fast-moving consumer goods (FMCG) brands in 29 countries.

In developed countries, the relationship between each CBBE component (except for brand associations) with market share is stronger for local than global brands. In emerging countries, the relationship between each CBBE component with market share is stronger for global than local brands.

This paper contributes to better understanding the relationships between CBBE and market share by showing how CBBE components relate to market share for different brand types (global and local) in different country groups (developed and emerging). Limitations arise from constraints related to existing datasets (e.g. limited number of variables and type of product categories considered).

This paper offers insights to managers working in multinational FMCG companies, as it suggests which CBBE components relate more strongly to the global or local brands' market shares in different countries.

This paper analyzes the relationship between CBBE and market share by focusing on different brand types (global versus local) in different country groups (developed versus emerging). It does so by using a company dataset and showing correspondence with conceptualizations and measures of brand equity from the academic literature. It also considers a large set of 29 countries, extending research beyond national boundaries.

The purpose of this paper is to use the Twitter Search Network of the Apache NodeXL data discovery tool to extract over 5,000 data from Twitter accounts that twitted, re-twitted or commented on the hashtag, #NigeriaDecides, to gain insight into the impact of the social media on the politics and administration of developing countries.

Several algorithms like the Fruchterman-Reingold algorithm, Harel-Koren Fast Multiscale algorithm and the Clauset-Newman-Moore algorithms are used to analyse the social media metrics like betweenness, closeness centralities, etc., and visualize the sociograms.

Results from a typical application of this tool, on the Nigeria general election of 2015, show the social media as the major influencer and the contribution of the social media data analytics in predicting trends that may influence developing economies.

With this type of work, stakeholders can make informed decisions based on predictions that can yield high degree of accuracy as this case. It is also important to stress that this work can be reproduced for any other part of the world, as it is not limited to developing countries or Nigeria in particular or it is limited to the field of politics.

Increasingly, during the 2015 general election, citizens have taken over the blogosphere by writing, commenting and reporting about different issues from politics, society, human rights, disasters, contestants, attacks and other community-related issues. One of such instances is the #NigeriaDecides network on Twitter. The effect of these showed in the opinion polls organized by the various interest groups and media houses which were all in favour of GMB.

The case study the authors took on the Nigeria’s general election of 2015 further strengthens the fact that the developing countries have joined the social media race. The major contributions of this work are that policy makers, politicians, business managers, etc. can use the methods shown in this work to harness and gain insights from Big Data, like the social media data.

This paper aims to examine the factors that drive the career progression of construction project managers (CPM) in the Ghanaian construction industry.

Based on the quantitative approach, the views of 80 CPMs working with D1 building construction firms were elicited using a structured questionnaire. Data was analysed using one-sample t-test, which was used to examine the relative significance of the variables. The mean scores, standard deviations and significance values (p-values) of each variable were used to examine the outcome of the survey.

The findings suggest that “existence of organizational support systems”, “ability to create identity”, “having an influential mentor and coach”, “accepting complicated and high visibility assignments” and “ability to gain managerial or leadership experience” are the key factors that drive the career progression of CPMs in Ghana.

Findings from this study is limited to CPMs, specifically within the Ghanaian construction industry. This implies that with the fragmented nature of the construction industry, adopting these findings in construction settings within other countries may not yield the desired results, especially, if those countries do not share similar characteristics and context with Ghana.

Practically, this study highlights for the benefits of project managers (PM) (especially those in the construction industry) the key factors that drive their career progressions. Identification of these drivers offers the professionals with those factors to be prioritized when seeking to progress their careers in the construction industry.

Empirical research on the factors that drive the career progression of CPMs has not been fully examined in previous studies, though such studies in other sectors aside construction are prevalent. Hence, the identification of the drivers for career progression of construction PMs advances literature in the area and offers the professionals with those factors to be prioritized when seeking to progress their careers.

This paper sets out to investigate the meaning, role and implications of contextual information associated with digital collections.

This paper is based on an extensive review and analysis of both the scholarly literature from many disciplines about the concept of context and the professional literature (including standards) related to the description of information artifacts. The paper provides an analysis of context, distinguishing three main ways in which that term has been used within the scholarly literature. It then discusses contextual information within digital collections, and presents a framework for contextual information. It goes on to discuss existing standards and guidance documents for encoding information related to the nine classes of contextual entities, concluding with a discussion of potential implications for descriptive practices through the lifecycle of digital objects.

The paper presents a framework for contextual information that is based on nine classes of contextual entities: object, agent, occurrence, purpose, time, place, form of expression, concept/abstraction, and relationship.

Research and development about and in support of digital collections will benefit from a clear articulation of the types, roles, importance and elements of contextual information.

Future users of digital objects will probably have numerous tools for discovering preserved digital objects relevant to their interests, but making meaningful use and sense of the digital objects will also require capture, collection and management of contextual information.

This paper synthesizes and extends a previously diffuse literature, in order to clarify and articulate core concepts in the management of digital collections.