scholarly journals Using Information Processing To Build A Private Label Brand In Big Emerging Markets

2011 ◽  
Vol 8 (4) ◽  
Author(s):  
Rachel K. Smith ◽  
R. Edward Bashaw
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Emerging Markets ◽  
Private Label ◽  
Branding Strategy ◽  
Information Processing Theory ◽  
The Past ◽  
Processing Theory ◽  
The World ◽  
The U.S

One of the most visible retailing phenomena of the past two decades has been the increase in sales of private labels (PL), or retail brands. Driven by retail consolidation, attractive margins, consumer sophistication, supply chain efficiencies, merchandising strategies, and pricing, PL offer a wider assortment of price and merchandise options for both retailer and consumer. An important part of the overall merchandising mix in the U.S. and Europe for decades, PL have only recently begun to make inroads in other parts of the world. Using the information processing theory, this paper outlines how retailers in three big emerging markets should use the theory in practice to enhance their PL branding strategy.

Technological change, information processing and supply chain integration

2018 ◽  
Vol 25 (5) ◽  
pp. 1279-1301 ◽  
Author(s):  
Roman Bartnik ◽  
Youngwon Park
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Technological Change ◽  
Emerging Economies ◽  
Supply Chain Coordination ◽  
Supply Chain Integration ◽  
Information Processing Theory ◽  
Content Type ◽  
Processing Theory ◽  
Research Propositions

Purpose Technologies change quickly in the automotive industry. This can provide opportunities to firms from emerging economies who try to enter the world stage of automotive production, provided they can react to this more nimbly than established competitors. How technological change affects the supply chain coordination of incumbents from developed economies and new entrants from emerging economies should strongly determine the speed of competitive reaction. By using the example of automotive transmission development, the purpose of this paper is to provide a conceptual model for the analysis and offer research propositions. Design/methodology/approach The authors build a conceptual model based on information processing theory and offer research propositions based on case study evidence of four automotive original equipment manufacturers (OEMs) and five suppliers. Findings The authors find symptoms of two larger trends: increasing specialization and technological linkages and a need to increase external supply chain integration beyond traditional structures. Comparing the effects on Japanese and German incumbents, the authors find that increasing external supply chain linkages proves to be harder for Japanese OEMs. Tight links and routines in the Japanese supply chain networks may harm OEM efficiency under the new technological conditions, e.g. the lack of complete part specifications and high demands for customization. Looking at effects on emerging market firms, Chinese OEMs use quasi-open modular production settings in transmission development and lean strongly on inputs from specialized foreign tier-one suppliers. Speed advantages must be weighed against long-term disadvantages of dependence and insufficient R&D investments. Research limitations/implications The study explores how technological change affects inter-firm development processes. The authors propose a framework and hypotheses based on information processing theory and link the findings to the discussion on the impact of national institutional context on supply chain coordination. Practical implications OEMs wanting to adapt complex existing internal structures to the changing demands for information processing should focus first on improving internal capacities by improving the amount and richness of information flow. Implementing new standards for simultaneous and standardized software development across the supply chain is a key point for this. A second step should be to boost the internal capacity to process higher richness of information, i.e. to understand the meta-knowledge necessary to integrate across technological areas in the development of electronic control units (ECUs). Originality/value The authors draw on original interview data in developed and emerging markets and information processing theory to explore the complexity of inter-firm coordination in automotive supply chains.

How supply chain analytics enables operational supply chain transparency

2018 ◽  
Vol 48 (1) ◽  
pp. 47-68 ◽  
Author(s):  
Suning Zhu ◽  
Jiahe Song ◽  
Benjamin T. Hazen ◽  
Kang Lee ◽  
Casey Cegielski
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Business Environment ◽  
Business Practices ◽  
Information Processing Theory ◽  
Content Type ◽  
Processing Theory ◽  
Organizational Information ◽  
Organizational Information Processing Theory ◽  
Analytics Capability

Purpose The global business environment combined with increasing societal expectations of sustainable business practices challenges firms with a host of emerging risk factors. As such, firms seek to increase supply chain transparency, enabling them to monitor operational activities and manage supply chain risks. Drawing on organizational information processing theory, the purpose of this paper is to examine how supply chain analytics (SCA) capabilities support operational supply chain transparency. Design/methodology/approach Using data from 477 survey participants, hypotheses are tested using seemingly unrelated regression. Findings The results reveal that: analytics capability in support of planning functions indirectly affects organizational supply chain transparency (OSCT) via SCA capabilities in source, make, and deliver functions; SCA capabilities in source, make, and deliver positively influence OSCT; and supply uncertainty moderates the relationship between SCA capabilities in make and OSCT. Research limitations/implications This research suffers from limitations inherent in all survey-based research. Nonetheless, the authors found convincing evidence that suggests firms can employ SCA capabilities to meet transparency requirements. Practical implications The findings inform design of SCA systems, noting the importance of linking planning tools with tools that support source, make, and deliver functions. The research also shows how transparency can be increased via employing SCA capabilities. Originality/value This is one of first studies to empirically demonstrate that SCA capabilities can be used to increase supply chain transparency. The research also advances organizational information processing theory by illustrating an analytics capability paradox, where increased levels of certain analytics capabilities can become counterproductive in the face of supplier uncertainty.

Using Organizational Information Processing Theory to Examine the Relationship between Information Sharing and Supply Chain Performance

2011 ◽  
pp. 230-240
Author(s):  
Clay Posey
Keyword(s):  
Supply Chain ◽  
Information Processing ◽  
Supply Chains ◽  
Information Sharing ◽  
Information Processing Theory ◽  
Processing Theory ◽  
Organizational Information ◽  
Shared Information ◽  
Organizational Information Processing Theory ◽  
New Perspective

Supply chains operate under conditions of uncertainty, and chain members exchange information as a means to mitigate such uncertainty within the chain. While these exchanges have largely been viewed as a positive method of achieving operational cohesion, some supply chains appear to benefit more from increased levels of information sharing than others. To assist in explaining the performance differences experienced by supply chains engaged in information-sharing activities, a new perspective of information sharing within supply chains based on organizational information processing theory (Galbraith, 1973) is introduced. More specifically, it is posited that individual supply chains may be examined as single information processors and that their characteristics can induce complexities in the shared information—ultimately an issue that affects how supply chains process this information. Furthermore, the degree to which supply-chain members’ information systems are compatible with each other is posited to also play a significant role in information-processing capabilities.

scholarly journals Perceived Intimacy Differences of Daily Online and Offline Interactions in People’s Social Network

Societies ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 13
Author(s):  
Emmelyn A. J. Croes ◽  
Marjolijn L. Antheunis
Keyword(s):  
Information Processing ◽  
Social Network ◽  
Social Information Processing ◽  
Media Use ◽  
Tie Strength ◽  
Information Processing Theory ◽  
Strong Ties ◽  
Social Information Processing Theory ◽  
Face To Face ◽  
Processing Theory

This study examined which media people use on a day-to-day basis to communicate and whether tie strength influenced this media use. Furthermore, we analyzed whether online and offline interactions differ in perceived intimacy and whether tie strength impacts perceived interaction intimacy: 347 real interactions of 9 participants (3 male, 6 female) were analyzed; 172 online (WhatsApp, Facebook Messenger, email, SMS interactions) and 175 offline (recorded phone and face-to-face conversations). The results revealed that the participants communicated most frequently face-to-face or via WhatsApp, especially with strong ties. Furthermore, participants rated their interactions with strong ties as more intimate compared to weak-tie interactions. Our findings have implications for Social Information Processing theory, as our findings show that people are equally able to communicate intimate messages online and offline.

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