MétaCan
Menu
Back to cohort
Record W1560404117

The Relationship between Market Orientation and Performance under Different Environmental Conditions: The Moderating Effect of the Top Management Team's Risk Taking Behavior

2009· article· en· W1560404117 on OpenAlexaboutno aff
Ram Subramanian, Kamalesh Kumar, Karen Strandholm

Bibliographic record

VenueAcademy of strategic management journal/Academy of Strategic Management journal · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInnovation and Knowledge Management
Canadian institutionsnot available
Fundersnot available
KeywordsOperationalizationMarket orientationConstruct (python library)MarketingOrganizational performancePsychologySocial psychologyBusinessComputer science
DOInot available

Abstract

fetched live from OpenAlex

ABSTRACT The literature on orientation finds support for its positive relationship with organizational performance. However, it is important to know what conditions moderate this relationship. Using a sample of 166 Canadian companies (in a post-NAFTA environment), we find evidence to suggest that the risk propensity of the firm's top management team (TMT) plays a critical role in translating orientation to improved performance. The moderating effect of the TMT's risk propensity varies across various environmental conditions such as turbulence, competitive intensity, and technological turbulence. The implications of these findings are discussed. INTRODUCTION The construct of orientation captures the interface between the organization and its external environment. Ever since the construct was operationalized in the 1990s (Narver and Slater, 1990; Kohli and Jaworski, 1990), a vast and growing body of literature has found support for a positive relationship between orientation and organizational performance (e.g. Kirca, Jayachandran, and Bearden, 2005; Verhees and Meulenberg, 2004; Baker and Sinkula, 1999; Jaworski and Kohli, 1993; Pulendran, Speed and Widing, 2000, Matsuno, Mentzer and Ozomer, 2002; Pelham and Wilson, 1996; Kumar, Subramanian and Yauger, 1998 ; Slater and Narver, 1994b; Slater and Narver, 2000; Subramanian and Gopalakrishna , 2001). From a behavioral point-of-view, orientation focuses on intra organizational activities that relate to the collection, dissemination, and response to external environment stimuli. However, for orientation to have a palpable payoff, the organization has to develop norms and behaviors (i.e., the culture) that encourage decision makers to make use of the information to strategically position the organization. One of the main challenges facing firms pursuing a market-orientation is avoiding the tyranny of the market (Hamel and Prahalad, 1991). Market intelligence may uncover important trends that indicate that the current is crowded, there is a trend toward commoditization of the product, and that the heightened intensity of competitive rivalry has resulted in a zero-sum fight for share. The same intelligence may provide a siren call to identify blue oceans (Kim and Mauborgne, 2004), the virgin space that is bereft of competition. To take advantage of this opportunity, the firm's managers must be willing to take the risk of entering such uncharted markets. Risk averse managers may not be willing to do this, instead steering the organization to stay the course. Without managers who are willing to take risks, the organization may take a conservative approach and be content to satisfy the expressed needs of current customers in existing markets. Thus it has been argued that in order to successfully pursue a orientation, it is necessary to have a management team willing to take risk (Jaworski and Kohli, 1 993 ; Pulendran, Speed, and Widing, 2000). In fact, Narver, Slater, and MacLachlan (2004) refer to this concept as proactive orientation, as opposed to one that is merely responsive. PURPOSE OF THIS STUDY Research that has explored the relationship between the top management team's (TMT) level of risk aversion and orientation has been equivocal (e.g. Jaworski and Kohli, 1993; Pulendran et al 2000). These mixed results may be due to the failure of these studies to include the environmental context. In other words, the importance of being wedded to the served may be more pronounced in stable markets, while dynamic conditions may favor exploiting blue ocean arenas. The industry as a whole and the various niches in it are typically well-defined in stable markets. It behooves firms in these markets to concentrate on the served rather than seek uncharted territories. In dynamic contexts, on the other hand, the industry definition and its boundaries are constantly in flux, thus encouraging and necessitating firms to look for new spaces. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.049
GPT teacher head0.288
Teacher spread0.239 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations34
Published2009
Admission routes1
Has abstractyes

Explore more

Same venueAcademy of strategic management journal/Academy of Strategic Management journalSame topicInnovation and Knowledge ManagementFrench-language works237,207