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The purpose of this paper is to draw on a subjective personal introspection (SPI) approach and Breakwell’s identity process theory (IPT) principles to show how elements from different cultures are performed by an individual to form a unique patchwork identity, and how this patchwork identity will contribute to deepen tourist gaze and, thus, achieving and maintaining authentic destination experience.

The use of SPI gives the researcher an easy access to data collection of his personal, daily experiences related to changing destinations and consuming different places in Europe (France, UK and Italy), North America (USA and Canada) and North Africa (Algeria, Morocco and Egypt) for unlimited 24-hour access from an insider’s ongoing lived experiences.

The results show that Breakwell’s IPT four principles are an integral part of patchwork identity construction when living and experiencing several places. Patchwork identity encompasses the individual’s ability to cross different social and symbolic boundaries when experiencing different destination. Each cultural context contributes to the bricolage and the assemblage of individual patchwork identity revealing one or more IPT dimensions.

This paper serves to emphasize the importance of SPI-based research to patchwork identity construction in understanding the impact of cultural identity on tourist gaze. This approach can help marketers and tourism professionals to understand how consumers select the cultural elements that fit their identity and how the patchwork identity formed will contribute to deepen tourist gaze and destination experience of authenticity.

The use of IPT and SPI-based research to explore tourist gaze offers a comprehensive framework based on a personal introspective approach where the starting point is the meaning individual provides to his hyphenated identity as coping mechanism to respond to social, psychological, ideological, cultural, symbolic, functional, structural, etc., aspirations.

In order to survive in today’s current downsizing within the defence sector, Hughes Aircraft Company has risen to the challenge by emphasizing teaming efforts, re‐engineering and adopting concurrent engineering process methods and has developed the integrated product development (IPD) management philosophy. The vehicle by which this philosophy will be implemented is integrated product teams (IPTs). Provides an overview of the process that was developed. Covers the definition of IPD, hurdles facing the IPT’s team dynamics and offers a conclusion. Notes that IPD philosophy was developed not from new techniques but by using existing teaming methods and that the main thrust of the new philosophy is the customer. Identifies one of the key philosophies as being the use of common terminology.

The purpose of this study is to develop a synthesized conceptual framework for artificial intelligence (AI) adoption in the field of business-to-business (B2B) marketing.

A conceptual development approach has been adopted, based on a content analysis of 59 papers in peer-reviewed academic journals, to identify drivers, barriers, practices and consequences of AI adoption in B2B marketing. Based on these analyses and findings, a conceptual model is developed.

This paper identifies the following two key drivers of AI adoption: the shortcomings of current marketing activities and the external pressure imposed by informatization. Seven outcomes are identified, namely, efficiency improvements, accuracy improvements, better decision-making, customer relationship improvements, sales increases, cost reductions and risk reductions. Based on information processing theory and organizational learning theory (OLT), an integrated conceptual framework is developed to explain the relationship between each construct of AI adoption in B2B marketing.

This study is the first conceptual paper that synthesizes drivers, barriers and outcomes of AI adoption in B2B marketing. The conceptual model derived from the combination of information processing theory and OLT provides a comprehensive framework for future work and opens avenues of research on this topic. This paper contributes to both AI literature and B2B literature.

This study aims to adopt implicit theory (IPT) to develop a creative mindset model and drive entrepreneurial success through innovation capability (IC).

Expert interviews were conducted using a questionnaire protocol. This study investigated the effect of the creative mindset on entrepreneurial success through IC, using a partial least squares analytical technique and by interviewing 176 Thai business owners.

The creative mindset drove entrepreneurial success through IC. Entrepreneurs possessing a growth mindset reflected and drove success directly or through IC. Although, those with a strong, fixed mindset did not significantly affect entrepreneurial success, they could drive success through IC.

This study provides further insight into the probable causation of how the creative mindset and IC affect tourism entrepreneurs’ success. Accordingly, this study contributes a framework to help entrepreneurs’ creativity and performance in achieving their business goals.

Drawing from IPT, this study empirically tests and substantiates the mediating role of IC in the relationship between the creative mindset and entrepreneurial success in the tourism industry. This study can help entrepreneurs increase their managerial effectiveness.

Supply chain resilience (SCR) has attracted much attention in the context of the high uncertainty caused by the coronavirus disease 2019 (COVID-19), local regional conflicts and natural disasters. Based on information processing theory (IPT), this study investigates the role of supply chain information processing capability in enhancing SCR through supply chain governance (SCG), under different conditions of environmental uncertainty.

The hypothetical model is tested by using hierarchical regression on the primary samples collected from the Chinese manufacturing industry.

The results indicate that supply chain information processing capability has a significant positive effect on SCR. Also, SCG plays a mediating role between supply chain information processing capability and SCR. Furthermore, environmental uncertainty positively moderates the effect of supply chain information acquisition and supply chain information analysis on relational governance. However, environmental uncertainty only positively moderates the effect of supply chain information analysis on contractual governance.

This is the first study to explain the effect of information processing capability on SCR from the supply chain perspective, while also exploring the mediating role of SCG between SCR and supply chain information processing capacity, based on IPT.

This paper aims to investigate how the professional service outsourcing (PSO) firm’s external knowledge integration with global clients, internal integration across various functional units and the synergistic effects between them in improving PSO performance.

Drawing on the theory of organizational learning, a conceptual framework is proposed with hypothesized relationships. The relationships in this conceptual model were tested using a structural equation model (SEM) to analyze a survey dataset including 192 Indian-based professional service providers.

A service provider’s performance is positively associated with its external integration with global clients and internal integration across various functional units. Synergistic effect is generated from balanced high-level external and internal integration in improving PSO performance.

This study contributes to the much-needed efforts in studying PSO, a new and fast-growing cross-border professional service activity, and provides helpful managerial implications to practicing global clients and offshore PSO service providers on how to successfully manage and govern the outsourcing process to achieve expected benefits.

This study focuses on offshore service provider’s viewpoint to extend traditional supply-chain integration regarding cooperative and mutually beneficial mechanisms to the context of PSO.

The purpose of this paper is to explore the effects that customer structured and unstructured information sharing (IS) can have on customer operational and strategic coordination and on supply chain performance (SCP). In addition, the study examines how customer IS influences customer coordination under various levels of demand uncertainty (DU).

The conceptual model for this study is designed on the basis of information-processing theory (IPT). Using data collected from 622 manufacturers in mainland China and Taiwan, the theoretical model is tested using the structural equation modeling method.

The authors find that both customer structured IS and unstructured IS are positively associated with customer strategic coordination. Customer structured IS increases customer operational coordination, but customer unstructured IS does not. DU positively moderates the relations between customer unstructured IS and strategic coordination, and between customer structured IS and operational coordination. Also, DU negatively moderates the relationship between customer structured IS and strategic coordination. Customer strategic coordination is positively related to SCP and to operational coordination. Customer operational coordination has no significant impact on SCP.

This study deepens our understanding of customer IS by distinguishing between customer structured and unstructured IS. The study also provides a greater understanding of customer coordination by making a distinction between the customer strategic and the operational coordination. The findings extend the empirical application of IPT. In addition, this study’s findings direct SC managers to apply varied customer IS practices that can enhance specific kinds of customer coordination activities, thereby enabling improved SCP.

The objective of this paper is to study the role of artificial intelligence (AI) in supporting the supplier scouting process, considering the information and the capabilities required to do so.

Twelve cases of IT and information providers offering AI-based scouting solutions were studied. The unit of analysis was the AI-based scouting solution, specifically the relationship between the provider and the buyer. Information processing theory (IPT) was adopted to address information processing needs (IPNs) and capabilities (IPCs).

Among buyers, IPNs in supplier scouting are high. IT and information providers can meet the needs of buyers through IPCs enabled by AI-based solutions. In this way, the fit between needs and capabilities can be reached.

The investigation of the role of AI in supplier scouting is original. The application of IPT to study the impact of AI in business processes is also novel. This paper contributes by investigating a phenomenon that is still unexplored and unconsolidated in a business context.

This study aims to elucidate the process and internal mechanism of place identity construction in traditional villages under the impact of tourism by taking Cuandixia village as a case. The research methods comprise participatory observation and in-depth interviews with the residents. The main results are as follows: the impact of tourism on traditional villages is mainly reflected in space reconstruction, livelihood change, social relations restructuring and culture change; under the impact of tourism, the representation of residents’ identity construction shows complexity, with positive and negative effects; and the place identity construction of residents affects their perception of and attitudes toward tourism. Moreover, self-esteem and self-efficacy principles play a key role in their perception of tourism. This study provides some reference for further investigation of the tourism development model and the mental mechanism of residents in traditional villages.

The purpose of this study is to explore how digital construction policy (DCP) drives enterprise green innovation (EGI) from an information processing theory (IPT) perspective, including the mediating mechanisms of market information accessibility and operational risk, the moderating role of intellectual property protection (IPP) and product market competition (PMC) and the heterogeneous effects of ownership, Internet development and managerial ability.

Based on the matched panel data of A-share listed enterprises from 2011 to 2019 and the Broadband China policy as a quasinatural experiment, this study investigates the impact of DCP on EGI by constructing a multi-time point difference-indifferences (DID) model.

Digital construction policies can significantly promote EGI. DCP works in two fundamental ways, namely by increasing market information accessibility and reducing operational risk. IPP and PMC significantly increased the contribution of digital construction policies to EGI. Heterogeneity analysis found that digital technology has a stronger promotion effect for SOEs, high-managerial-ability enterprises and enterprises in regions with low Internet development levels.

The study provides new insights about the antecedents of EGI from a DCP perspective. It also enlightens emerging economies to actualize green innovation under the digital wave.

From the perspective of IPT, this study explains the mechanism of DCP-driven EGI. It enhances understanding of the relationship between DCP and EGI.