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To unlock social media’s value, this study aims to integrate insights from several theoretical perspectives and the relevant literature, developing an extended social media analytics framework. It identifies the stages underlying the social media analytics process and tests the framework in three important and interconnected areas: social media (Twitter), new product adoption (iWatch and Google Glass) and social media analytic techniques (text mining and sentiment analysis).

Based upon a systematic review of different research approaches, theories and media types, this paper presents and tests an extended framework in three important and interconnected areas mentioned above.

This paper offers a theory-driven social media analytics framework. It validates the framework by providing concrete processes, examples, evidence and insights related to three chosen areas mentioned above, thereby helping managers create effective and efficient social media and new product development strategies.

This paper integrates insights from theories of the middle range (Merton, 1949), Campbell’s (1965) model of sociocultural evolution and Fan and Gordon’s (2014) social media analytics framework, developing its own extended social media analytics framework and validating it in three important and interconnected areas mentioned above. This paper demonstrates not only how the proposed framework can be applied to the context of new product development, but also how social media are transforming research approaches (qualitative, quantitative and mixed method) and the very nature of business itself (increased importance of digital business).

This paper aims to examine a type of interorganizational learning called Industry Peer Networks (IPNs), in which a network of non-competing small businesses cooperates to improve their skills and to stay abreast of the industry trends, so that the firms remain competitive in the local and regional markets. The key characteristic of an IPN is the regular gathering of peers in small groups (typically 20 or fewer carefully selected members) in an atmosphere of significant trust, guided by a facilitator, to participate in a series of formal and informal activities through established guidelines, to share knowledge about management and marketing, exchange information about industry trends beyond their core markets, discuss issues related to company performance and provide constructive criticism about peer companies.

The qualitative research on the context included visits to 13 peer meetings, three workshops for peer members, seven semi-structured interviews with members and many communications with the founder, chairman, committee chairpersons and several facilitators of peer meetings that spanned across five years. Data collection and analysis followed grounded theory building techniques.

The authors identified both cooperative and competitive learning practices that a small business could carry out to grow from a novice to an expert IPN peer member. The cooperative elements such as peer discussions, disclosure of financial data and exposure to various business models allow member firms to learn vicariously through the successes and/or failure of their peers. At the same time, the competitive elements such as service delivery critiques, business performance benchmarking and firm ranking also prompt the members to focus on execution, to emphasize accountability and to strive for status in the network. The IPN in this research has also built network legitimacy over time, and it has sustained a viable administrative entity that has a recognizable form and structure, whose functions are to strategically manage network activities and network growth to attract like-minded new members.

First, because this research focused on fleshing out the transformative practices engaged by IPN peers, it necessarily neglected other types of network relationships that affect the small businesses, including local competitors, vendors and customers. Second, the small employment size of these firms and the personal nature of network ties in the IPN may provide an especially fertile ground for network learning that might not exist for larger firms. Third, the technology-intensive and quality-sensitive nature of IT firms may make technological trend sensitization and operating efficiency more competitive advantages in this industry than in others. Finally, although participation in IPN is associated with higher level of perceived learning, the relationship between learning and business performance is not yet articulated empirically.

The study contributes to the understanding of cooperative/competitive transformative practices in the IPN by highlighting the defining features at each transformation stage, from firms being isolated entities which react to market forces to connected peers which proactively drive the markets. IPNs are most effective for business owners who are at their early growth stage, in which they are positioned to grow further. Nevertheless, the authors also present the paradoxical capacity of IPNs to propel firms along trajectories of empowerment or disengagement.

As 78.5 per cent of the US firms are small businesses having fewer than 10 employees, the knowledge of firm and IPN transformation is important for both researchers and advocates of small businesses to understand the roots of success or failure of firms and the IPNs in which they are embedded.

Earlier research has not explored the network-level effects as part of a full array of outcomes. Instead, research involving IPNs has focused primarily on the motivation and immediate firm-level outcomes of IPNs. Research to this point has also failed to examine IPNs from a developmental perspective, how the firms and the IPN as a network transform over time.

To provide a keener understanding of consumers’ decision-making processes and motivations regarding deliberate counterfeit consumption, this paper aims to integrate insights from several theoretical perspectives and the relevant literature. It proposes an overlooked yet important goal-directed interactionist perspective and identifies and tests a novel construct called consumers’ perceived counterfeit detection (PCD) in a proposed model.

This paper uses a comprehensive review of the literature to justify its proposed perspective, PCD construct and model, followed by in-depth interviews and survey data to test its proposed model and hypotheses.

Besides the theoretical insights derived from the proposed goal-directed interactionist perspective, empirical results demonstrate the important role that PCD plays in counterfeit consumption. In fact, PCD not only negatively and directly affects consumers’ intentions to deliberately purchase counterfeits but also weakens the positive effect consumers’ attitudes have on their purchase intentions.

This research makes several theoretical contributions. First and foremost, differing from other approaches (e.g. personal, economic and ethical), this research justifies an overlooked yet important goal-directed interactionist perspective and develops a refined and substantive framework including its proposed PCD construct. This framework provides opportunities to investigate behavior as an interpretative and dynamic process, vitalizing the domain of counterfeit-consumption behavior studies in particular and ethical behavior research in general. Second, at the construct level, the proposed hypothetical construct of PCD comprises the building blocks for knowledge advancement. Finally, rather than testing theories incrementally (such as the theory of planned behavior and the theory of reasoned action), this research fosters the development of new ideas regarding our proposed goal-directed interactionist perspective and PCD construct, which can be applied to other contexts and constructs that share the same or similar mechanisms and features.

According to the proposed goal-directed interactionist perspective, this research offers insights regarding why understanding consumers’ different goals (e.g. social-adjustive vs value-expressive; attainment vs maintenance) is important for marketers; how consumers’ goals interplay with their choices through their actions and consumption (e.g. compete vs substitute); and why, how and when their goals interact with their actions, choices and situations during their goal-setting, goal-striving and goal-realization stages that may lead to unethical behavior. At the construct level, the better marketers understand PCD, the more effectively they can use it. At the level of relationships and procedures, this research can offer important insights for businesses that look for “best practices” in the fight against deliberate counterfeit consumption.

First, by integrating insights from goal-directed behavior, self-regulatory theories and interactionist theory, this paper proposes its own goal-directed interactionist perspective. It then develops and tests a refined and substantive model of counterfeit decision-making in which PCD stands as a novel construct. The paper’s proposed perspective and model provide opportunities to investigate behavior as an interpretative and dynamic process, taking the domain of ethical behavior research (e.g. counterfeit-consumption behavior) from descriptive frameworks to testable theories.

Frontline employees face constant emotional demands in the course of providing services to their customers, which can impact job engagement. This study aims to investigate the influence of emotional labor (surface and deep acting) and job resources (having a mentor and availability of expressive emotional network resources) on employees’ customer orientation and their relationship to three dimensions of job engagement: vigor, absorption and dedication.

Using data collected from food service providers, a conceptual model based on the job demands–resources theory is developed and tested.

Findings show that having a mentor and expressive emotional network resources increases customer orientation, which in turn increases vigor, absorption and dedication. However, surface acting negatively affects customer orientation, which indirectly reduces job engagement.

Consistent with the main tenet of the job-demands and resources theory, it was found that surface acting reduces engagement, whereas job resources (expressive emotional network resources and mentorship) boost engagement. Moreover, the results suggest that the commercialization of human feelings still remains an important topic for service providers to consider during service interactions because its presence affects frontline service employee engagement levels.

Drawing on the organizational buying decision-making framework, the purpose of this study is to investigate how sales orientation (SOCO) affects buyers’ conflict, salesperson-owned loyalty and buyers’ propensity to end a supply relationship when selling firms use a single versus multiple salesforce go-to-market strategy.

Survey data was analyzed with a sample of organizational buyers. Confirmatory factor analysis and structural equation modeling were used to analyze the data.

Findings reveal that a selling firm’s go-to-market salesforce strategy moderates certain relational aspects of the buyer–salesperson relationship, consequently influencing a buyer’s decision to end a supply relationship.

Empirically, these findings indicate that the effects of selling orientation on conflict, salesperson-owned loyalty and exit intentions are not only based on the salesperson’s efforts but are conditional on the selling firm’s go-to-market strategy, particularly with the implementation of multiple salespeople selling to a particular industrial buyer.

These results suggest that a salesforce go-to-market strategy conveys serious consequences on buying decisions. Given that a go-to-market strategy involving multiple salespeople impacts the buyer’s relationship with the selling firm to a greater degree, managerial oversight must remain present when selling firms decide to pursue such a go-to-market strategy.

The empirical investigation of a salesforce go-to-market strategy is an original pursuit. Specifically, this study shows that while it is critical that buying and selling firms monitor buyer–salesperson relationships as the basis for supply partnerships, these exchanges are largely contingent on the selling firm’s go-to-market strategy.