Expectations and benefits of utilizing social media tools in new product development

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Expectations and benefits of utilizing social media tools in new product development Dr. Tero Peltola & prof. Saku Mäkinen CITER / Tampere University of Technology, Finland PICMET’14 Conference | 27.-31.7.2014 | Kanazawa, Japan

description

The presentation of the PICMET'14 Conference held in Kanazawa, Japan (27.-31.7.2014).

Transcript of Expectations and benefits of utilizing social media tools in new product development

Page 1: Expectations and benefits of utilizing social media tools in new product development

Expectations and benefits of utilizing social media tools in

new product development

Dr. Tero Peltola & prof. Saku Mäkinen

CITER / Tampere University of Technology, Finland

PICMET’14 Conference | 27.-31.7.2014 | Kanazawa, Japan

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Tero Peltola / CITER 13.04.2023

Outline

BackgroundMethodsResultsConclusions

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BACKGROUND

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Internal use of Web 2.0 applications has produced measurable gains% of respondents using Web 2.0 for internal purposes and reporting the following benefits (avarage data from 2009, 2010, 2011)1

Tero Peltola / CITER 13.04.2023

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• New product development (NPD)– Cooper & Kleischmidt– Kim & Wilemon

• Social media tools- Haefliger et al.- Dahl et al.- Tsai

Background literature

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2007

2002

2011

2011

2001

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So what we know / expect

• Increased transparency between internal functions will foster information sharing that is among the NPD success factors

• The beginning of the NPD is the most important phase of the whole development

• Social media tools have suggested to have positive impact on productivity, interactions, idea generation and harvesting

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METHODS

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Questionaire preparation

• 1 to 7 Likert scales (41)• Each of the question items are either adapted

or synthesized from literature

• Pre-test Pilot test Launch

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Data collection

• 3 case organizations• Online surveys

– Initial status• Winter – Autumn 2012

– Follow-up• By the end of 2013

• Tools implemented: blueKiwi, Confluence, Sharepoint with Social Sites

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Data collection

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  Pre Post Cumulative % share

Gender

Male

Female

 

119

12

 

104

17

 

223

29

 

88.5%

11.5%

Highest degree

University

Other

 

109

22

 

86

35

 

195

57

 

77.4%

22.6%

Organization level

Senior manager

Manager

Employee

 

33

39

59

 

42

24

45

 

75

73

104

 

29.8%

29.0%

41.3%

Organization

NPD

Marketing and Sales

Consulting

Service, installation, implementation

Assembly

Tech support

Other

 

54

7

15

2

15

17

21

 

48

4

20

10

2

5

32

 

102

11

35

12

17

22

53

 

40.5%

4.4%

13.9%

4.8%

6.7%

8.7%

21.0%

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Data collection

• 3 case organizations• Online surveys

– Initial status• Winter – Autumn 2012

– Follow-up• By the end of 2013

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  Pre data collection responsesAmount (response rate)

Post data collection responsesAmount (response rate)

Case 1 37 pcs (46.8%) 33 pcs (38.8%)Case 2 47 pcs (51.6%) 32 pcs (36.4%)Case 3 47 pcs (44.8%) 57 pcs* (38%)

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Data collection

• 3 case organizations• Online surveys

– Initial status• Winter – Autumn 2012

– Follow-up• By the end of 2013

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Comparative (two datasets)

  Pre data collection responsesAmount (response rate)

Post data collection responsesAmount (response rate)

Case 1 37 pcs (46.8%) 33 pcs (38.8%)

Case 2 47 pcs (51.6%) 32 pcs (36.4%)

Case 3 47 pcs (44.8%) 57 pcs* (38%)

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RESULTS

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Statistical notes

• According to the background information of respondents (in both initial and follow-up rounds) the datasets are not biased.

• Datasets represents statistical different groups (i.e. they are not subsets of the same dataset)– Verified by Mann-Whitney U –test; p<0,05

Comparing them is worthwhile 13.04.2023Tero Peltola / CITER

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Expectations & Usage

• Expectations and the actual usage are not alike– Expectations are correlating with various

communication likelihoods • But the usage only with intrinsic interactions with

external parties

– Familiarity towards social media technologies seems to indicate high expectations and also results active usage

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The most important aspect

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Expert dic-tionary

Information transparency

Informal discussions

Other0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%

Expert dic-tionary

Information transparency

Informal discussions

Other0%

10%

20%

30%

40%

50%

60%

70%

80%

90%

100%Pre Post

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Benefits

According to the statistical differences between active and conservative users

• Senior managers can support more the organization

• Managers and specialists consider that intra-organizational awareness has been increased

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CONCLUSIONS

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The impact of the organizational members’ characteristics should be minimized by organizational working practices that utilize the possibilities of OCT

Reluctance to utilize OCT on the all organizational levels should be minimized

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Acknowledgements

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Thank You

• Further questions?

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http://fi.linkedin.com/in/teropeltola