Search results

Despite its potential as a new source of competitive advantage, the performance implications of social media (SM) marketing (SMM) are not well understood. This study aims to investigate how and when SMM matters to firm performance, analysing the mediating role of product innovation (PI) and moderating the role of marketing innovation (MI) in business to business (B2B) small- and medium-sized enterprises (SMEs).

This paper used structural equation modelling analysis in STATA, using the Australian bureau of statistics data set of 4,956 SMEs which operate in the B2B environment.

The results reveal differential moderating effects of MI on the direct SMM–performance relationship. MI positively moderates internal SMM and SM use for promotion and branding on firm performance. MI also negatively moderates SM use for customer communication on firm performance, underscoring SMM constituting a double-edged sword. The indirect effects of internal SM use and SM use for promotion and branding, and customer involvement in new product development on performance via PI are significant when MI is absent.

Hence, B2B SMEs benefit from PI and existing SMM but do not benefit from dual PI and new MI.

By disaggregating SMM and explicating the mediating mechanism and moderating effects of MI, this study reveals how and under what conditions SMM matters to firm performance in B2B SMEs.

The purpose of this paper is to understand how and why small to medium enterprises (SMEs) access knowledge from external actors in general and from higher education institutions (HEIs) in particular and what is the extent to which these knowledge access pathways affect SME innovativeness.

The paper involved both quantitative and qualitative approaches: a survey of 1,226 SMEs and a mini case study to follow-up on issues arising from the survey analysis. Survey data were analysed using both non-parametric and multivariate Poisson regression analysis. The case study was based on a medium-sized manufacturing firm in South Australia.

While there are significant differences between the micro-, small- and medium-sized enterprises, the evidence suggests that SMEs generally use “generic” university–industry knowledge transfer pathways (e.g. published research results) rather than university–industry links with high “relational” involvement. More significantly, the results indicate that SMEs are more likely to rely on organisations other than universities and related R&D enterprises for knowledge acquisition like clients/customers or suppliers. While collaboration is most likely to occur within the same state/territory, or Australia, many SMEs also collaborate internationally, usually as part of normal supplier–customer relationships, reinforcing knowledge acquisition from organisationally proximate partners. These findings are also supported by the case study.

This research was limited to surveying SMEs in one geographic (metropolitan) region in Australia. It also does not account for the different patterns of HEI–SME interactions in different industry sectors. There is also only one case study.

First, the research adds to the few field studies that have investigated accessing knowledge for innovation among SMEs. Specifically, the research contributes to an understanding of the heterogeneous roles that different actors play in facilitating knowledge access for improving innovative SMEs outcomes. Second, the research does not treat all SMEs similarly in terms of size effects but instead accounts for differing SME sizes and how this affects their selection of knowledge access pathways. Third, the research contributes to a small number of studies that attempt to understand how HEIs and SMEs can work better together in the context of a regional innovation system, especially one that is relatively less competitive to the larger economy.

The purpose of this study is to analyze the systematic relationships among dynamic capabilities in startups’ survival.

This study is based on a systematic literature review on dynamic capabilities related to startups’ survival, following the content analysis approach.

This study presents four different perspectives of analysis about dynamic capabilities from resources exchange and business factors that meet needs of startups' survival. It also points out new area for future research in this field. In doing so, this study differentiates itself by its approach not limiting dynamic capabilities research and enriching entrepreneurs' capability theory.

By indicating an evolution of dynamic capabilities theory among tangible and intangible resources exchange in a more favorable adaptation to startups growth, this study boosters and contributes to the society, economy in general and to the science of business management in various perspectives such as overcoming cognitive barriers, entrepreneur’s commitment, innovation capabilities and knowledge capacity of startups.

This study amplifies dynamic capabilities vision in startups’ survival as one of the main sources for growth in this type of organizations. It also develops a deeper understanding about new avenues for dynamic capabilities theory among tangible and intangible resources exchange.