Research Design
This study employed cross-sectional survey with mixed research concurrent approach to answer the basic research questions. The study investigated the communication practices and innovation implementation of craftspeople in Gojjam using descriptive analysis. In addition, the association of communication and innovation with the performance of craftspeople was examined using explanatory research design. Further explorations and descriptions were made on the nature of craft products in relation to the communication practices and innovation implementation of the craftspeople based on insights from field observation.
Population and Sampling
The study area covers East and West Gojjam zones in Amhara Region, Ethiopia. The dominant livelihood for most people in this area is agriculture. In addition, weaving, pottery, tannery and smith related craft activities have been used as an alternate means of livelihood for some segment of the society in Gojjam. From these indigenous crafts, weaving and pottery are the predominant handcrafts in this area. Hence, the target groups for this study were craftspeople residing in districts with abundant craft industries in the study area. To this effect, Sekela, Quarit, Debre Elias and Machakel districts were purposively selected for the study.
Respondents from the target group were selected using simple random sampling technique. Out of 2890 craftspeople residing in these districts, a sample of 352 craftspeople was selected at standard error of +5 % using Yamane (1967) formula. A total of 326 questionnaires were properly filled and returned at a response rate of 93%. The nature of the craft products and their actual innovation implementation were simultaneously observed for triangulation and further illustration.
Methods and Procedures
Structured questionnaire was adapted from standard measurement of Oslo Innovation Manual (OECD, 2005) that Kilic et al. (2015) used to assess the innovation implementation of manufacturing firms. It was adapted to answer the basic research questions related to innovation taking into account the local context of indigenous craft manufacturing. The items used to investigate communication practices among craftspeople and the societies were adapted from Hirst and Mann (2004) and Md-Saad et al. (2014). Items concerning the communication practices of craftspeople were adapted from the questionnaire used to investigate communication among different development teams whose target population ranges from 60-350 sample size. The questionnaire was finally translated into Amharic (local language) customizing it with the local context.
Performance indicators of small enterprises can be measured using the number of employees, net profit, capital and gross revenue (Dessie and Ademe, 2017; World Bank, 2008). However, all performance indicators were not considered in the context of weaving and pottery crafts as the industries are owned at family level whose operators often work on and off. Due to inconsistencies experienced to calculate labor cost in traditional settings, net profit was not used as performance indicator. The gross revenue of craft industries entails the existence of increment and decrement of performance so that we found justifiable to use revenue as a proxy indicator of performance for weaving and pottery craft industries under study. This was technically calculated by multiplying the number of crafts manufactured and sold by sales prices of each item.
The data collection was carried out applying concurrent and multistage procedures. First, the observation of selected craft industries was conducted to have general overview of the research districts and acquired validation insights in formulating the sampling frame. The observation of some industries in four districts was concurrently carried out during the administration of questionnaire.
The data collected through structured questionnaire were analyzed using descriptive and inferential analysis (mean, percentage, standard deviation and SEM). These analyses were used to describe and portray the association between multiple variables under study. Particularly, SEM was employed to perform multiple and accurate estimations of interdependence among variables. The qualitative data were intertwined with the quantitative analysis after the qualitative data were organized and interpreted thematically. From the field observation, the nature of crafts, and their communication and innovation were described; hence, some pictures were taken to portray the crafts.
The reliability and validity of the questionnaire was checked for suitability for analysis using Cronbach’s alpha test. Alike the consistency of the original sources, the questionnaire items were found to be highly consistent. Details of the test are shown in Table 1 below.
Table 1. The reliability of communication and innovation attributes as per research instrument.
Latent factor (Cronbach alpha)
|
Sub-factors
|
No of Measurement Items
|
Cronbach Alpha
|
|
Boundary spanning
|
2
|
0.692
|
Communication (α= 0.97)
|
Communication safety
|
2
|
0.803
|
|
Reflexivity
|
3
|
0.85
|
|
Task communication
|
2
|
0.706
|
|
Communication frequency on creativity
|
6
|
0.818
|
|
Product Innovation
|
5
|
0.782
|
Innovation(α=0.895)
|
Process Innovation
|
5
|
0.796
|
|
Marketing Innovation
|
4
|
0.784
|
|
Organizational Innovation
|
6
|
0.685
|
Findings
Pottery and Weaving in Gojjam
Craft industries in Gojjam have long socio-cultural and historical origins representing indigenous practices of producing and using culturally and economically important tangible materials and cloths. Weaving and pottery are quite common and widely distributed practices whose products vary as to local and national requirements. As it is seen in Figure1 below, potters and weavers in Gojjam make crafts which suit the local needs.
Potters often produce incense burners (3.8%), big and small pots (15%), cooking appliances (Dist, 2.5%), baking kitchen (Magedo Kotabi Midija, 9.4%), stove (6.28%), griddle (Mitad, 56.6%) and coffee pot (Jebena, 10.06%) from clay soil. The respondents also confirmed as more number of craftspeople was engaged in the production of griddle, big pots and coffee pot owing to the irreplaceable and locally demanded materials. In weaving craft industries, most craftspeople engage themselves in the production of shema and other thread made products as per the cultural and environmental demand. People in Gojjam especially rural farmers have traditional cultural cloths to be worn during ceremonies and holidays (Figure 2).
Thus, gabi, kuta and netela are mainly needed by the local people. In ordinary working days, farmers wear shawls which comfortably protect them from cold and are dirt resistant. In cold days and evenings, they often wear locally called Gojjam-Azenes. The crafts in every indigenous industry are labor intensive and tiresome. Most of the time, members of the family are engaged in the crafting activities instead of hiring someone from the labor market. As it can be seen in Table 2 below, 85% of weaving and pottery craft industries engaged a maximum of two workers (members of a family), 86.2% of the craftspeople inherit the craft from family while 13.8% of them got training by various stakeholders. According to Table 2, weavers have greater mean weekly revenue as compared to potters.
Table 2. Background of each craft sector
|
Number of Employees(workers)
|
Craft learning &Startup
|
|
|
Craft sector
|
1
|
2
|
3
|
4
|
5
|
10
|
Learnt From family
|
Through Training
|
Mean weekly revenue
|
Total Crafts-people
|
pottery
|
138
|
25
|
1
|
-
|
0
|
0
|
158
|
6
|
482.2453
|
164
|
weaving
|
63
|
57
|
26
|
13
|
2
|
1
|
123
|
39
|
2303.7815
|
162
|
Total
|
201
|
82
|
27
|
13
|
2
|
1
|
281
|
45
|
2786.027
|
326
|
Communication practices of craftspeople for innovation
Information sharing practices have pertinent contribution to add creative values to the process of manufacturing crafts. Craftspeople who are engaged in various craft industries need to share creative ideas to and from their counter parts through mediated communication and interpersonal channels manifested at communal market places, neighbors, custodies, social and business gatherings. As it is portrayed in Table 3 below, about 313 craftspeople were interviewed in schedule questionnaire to explain how far they exchange information on creative ways of craft making.
Table 3.Types of Communication employed to exchange information on creativity
Information they get about creativity
|
Frequency
|
%
|
No communication and information exchange
|
140
|
44.7
|
share limited experience unintentionally
|
142
|
45.37
|
Share information at market places
|
5
|
1.6
|
Share information from organization: TVET, merchants community, custody, training , SMES Agency
|
20
|
6.4
|
Share from customers feedback
|
6
|
1.9
|
The qualitative data which were thematically presented in Table 3 above revealed that most of the craftspeople did not share ideas in any means. Potters and weavers in most parts of Gojjam reside together. According to 45.4% of the craftspeople, nevertheless, they had limited experience to unintentionally share novel ideas with their family, neighbors and friends during interaction for their social business. There were no craftspeople who shared innovative ideas from national and international media outlets.
Craftspeople have drawbacks in sharing creative ideas to and from various industries which in turn influence their performance. The frequency of getting information about creativity and harnessing this information in their crafts by sharing innovative knowledge and skills affect the operation of craft industries. The consistent practices in using interpersonal and mediated communication outlets attributes to the performance of craftspeople. As it is seen in Table 4, weavers’ and potters’ frequent practice of acquiring information about creativity that suit to their crafts is minimal. The craftspeople internal and external communication practice to share information without any threat and exclusion from members of craft industries and other sister industries has significance to realize inventiveness by spanning boundaries among cultural industries. The extent these craftspeople share ideas in reflexive manner and communicate to accomplish their tasks influences the practice of weaving and pottery crafts towards innovation. Craftspeople proved as their attempt of spanning boundaries by sharing information through internal and external linkages and doing this from different perspectives was negligible. According to Table 4, the tendency of craftspeople to avoid risks is very limited. This also attributes to the failure of craftspeople in understanding potential problems they often encounter in the practice of becoming creative. This is due to their inability to share useful information which integrally resulted in cross-fertilizing ideas and spanning innovation.
Table 4. Communication practice of craftspeople
Descriptive Statistics
|
Attributes of communication practice
|
|
Mean
|
Std. Deviation
|
N
|
Value
|
Std. Error
|
|
Communication frequency
|
319
|
1.6108
|
.02944
|
.52581
|
Boundary spanning
|
320
|
1.7156
|
.04016
|
.71837
|
Communication safety
|
319
|
1.6348
|
.03955
|
.70645
|
Reflexivity
|
318
|
1.7683
|
.04175
|
.74451
|
Task communication
|
318
|
1.8286
|
.04974
|
.88701
|
Knowing the actual working circumstances and developing new understandings are primarily important to respond to emerging conditions and challenges which basically affect the progress of craft industries. The essence of developing responsiveness, collaboration and cohesiveness among the craftspeople in cultural industries enables them to share feelings which eventually result in solidarity, harmony and commitment among the craft community. In these attributes of inside and outside group reflexivity, potters and weavers in Gojjam had drawbacks. Communication practices for clarity of objectives, with feedback and right direction for innovation was negligibly practiced among the craftspeople in Gojjam.
Thus, the results presented so far showed that craftspeople had problems in their practice of frequently sharing information about creativity within and outside, and applying risk free, reflexive and task oriented communication. Generally, traditional craft industries failed to access and expose themselves to innovative information through mediated communication. To the worst case, these craftspeople rarely share the knowledge, technical skills and experience they had to their craft-mates and take little or no lesson from the nearby modern industries.
Innovation Implementation in Craft Industries
The practice of craftspeople engaged in pottery and weaving industries in Gojjam have long historical bases. Their tendency of manufacturing novel products which could add values and satisfy the needs of their customers has been, however, negligible due to failures in copying and adapting from local and international experiences. As a result, most craft industries were less likely to manufacture products with new designs. As presented in Figure 3 below, 42.6% of potters and weavers did not manufacture new products which are totally different from the current ones. To the other end, 35.3% craftspeople improved the design of their products from their own learning curve. In product innovation, 68.7% of potters and weavers did not implement any cost reduction strategy to enhance production efficiency. Only 15.6% of the craftspeople made little improvements on production efficiency by their own effort.
Novelty in the current product is developed by improving the customers’ ease of using it and their satisfaction. The results presented in Figure 3 above revealed that 63.06% of the craftspeople did not implement innovation at all in the process of making the product. Only 21.9% made little improvement owing to the long years’ of experience they had on pottery and weaving industries. Due to limited opportunities that craftspeople have in accessing modern industrial products, only 8.78% of potters and weavers attempted to implement innovation by copying products from local and national markets. It can be noted that craft products can be manufactured with some level of novelty if the craftspeople get some sort of technical support. Manufacturing a totally new product, however, requires high creative potentials and perseverance to surmount challenges. It is really cumbersome for weavers and potters to implement radical innovation in their cultural industries. This scenario is indicative to the intention of enhancing their skills which result in product innovation and production efficiency.
The performance of one’s craft industry depends much on the capability of a craftsperson in minimizing non-value adding activities, reducing variable costs, eliminating invaluable activities in the process craft making and delivery. 56.1% of the craftspeople in weaving and pottery craft industry fail to implement innovation so as to eliminate non-value adding activities in production processes. Only 10.1% weavers and potters in the study area implemented process innovation through adaptation from local and national experiences. Some more craftspeople (27.9%) also proved that their limited innovations were the results of improvements in the current practice owing to their longer experience in the craft sector.
The results presented in Figure 4 shows that there is absence of attempts to implement innovation among many of the craftspeople in pottery and weaving industries (78.1%). The innovation implemented in manufacturing processes, techniques and machinery remained unchanged in the practice of increasing output quality (74.5%). Moreover, innovations on avoiding non-value adding delivery processes (52.5%) and speed of delivery, logistics (66.0%) were not implemented. In the rest of the implementations of innovation, some weavers and potters replied as their current production process is the improvements made through experience. From this we can learn that the practice of implementing innovations underwent failures in most of weaving and pottery industries in Gojjam. Experience to some extent attributed to the implementation of innovation which adds values to the process of manufacturing ordinary and cultural costumes and materials.
Reforms made to renew the design, appearance, shape, distribution channel, promotion and pricing tactics of craft industries are hallmarks to marketing efficiency and effectiveness. According to 60.4% of the respondents (see figure 5 below) weavers and potters did not implement any marketing innovations so as to renew the design of the products. They did not make changes on the appearance of the product, shape or volume without changing their basic functional features. Few (8.6%) of them, however, copy these components of marketing innovation from local and national markets while some others( 26.1%) implement innovation in their craft industry by improving the techniques through experience.
Craftspeople (24.8%) have undergone changes in their prior distribution channel through the implementation of innovations imitated from local and national exposures. Most of them (41.4%), however, did not implement any innovations to renew the distribution channels without changing the logistics process related to product delivery. In addition, 8.6% of weavers and potters employ renewed product promotion techniques imitated from local strategies whereas 19.0% made improvements on their own innovative promotion techniques. About 19.0% craftspeople revised their pricing strategy taking into account their new products and market condition. The majority of the craftspeople, however, are unsuccessful to implement innovative marketing strategies to their crafts.
Craft industries as a small scale business organizations demand efficient organizational structure which implements innovation in their value chain. The practice of weavers and potters entails that they had diverse attempts to implement attributes of organizational innovation at different extents. As can be seen in Figure 6, a significant number of craftspeople never implement attributes of organizational innovation in their industries all along their craft making practices. Some craftspeople (16.0%) attempted to implement innovation by renewing the routines, procedures and processes employed to perform firm activities by imitating from local and national innovative experiences. About 19.0% of them also made innovative reforms in their manufacturing process. In the supply management system, 18.4% and 20.6% of weavers and potters in the study area implement innovation copying from in-house experiences and improving their own practical exposures in craft industries.
As depicted in figure 6 below, there were negligible practices to realize innovation in their human resource management system using local and international organizational experiences. Hence, the craftspeople had insignificant efforts exerted to introduce innovative experiences in their organizational structure, value chain management, information exchange and coordination within and outside.
Implementing radical innovations, changing extant practices and adapting from local and international markets are proved to be the proposed criteria to investigate innovation implementation. The data collected from sampled potters and weavers revealed (see figure 7) that product, process, and marketing and organizational innovation implementations are totally limited. Accordingly, their innovation is mainly based on improving their existing products.
The association of communication and innovation with performance
A structural equation model was used to evaluate the association between communication and innovation with performance. As depicted in Table 5 below, the performance of craftspeople is significantly influenced by their communication practices and innovation implementation. Their reflexive communication practices which may develop internal and external solidarity among craftspeople, communication safety, frequency of communication on creativity and task communication had significant relations with performance. The implementation of innovation to renew craft products, the renewal of marketing strategies, and organizational innovation significantly contributed to the performance of craftspeople. The association of boundary spanning and process innovation was, however, insignificant with performance.
Table 5. SEM analysis on communication and innovation association with performance
Manifest variables(for communication and innovation)
|
Coefficient
|
Std.err
|
p>/z/
|
Constant
|
5.0616***
|
0.1757
|
0.000
|
Reflexivity
|
-0.3946***
|
0.1011
|
0.000
|
Task communication
|
0.1381*
|
0.0846
|
0.100
|
Communication safety
|
0.2251**
|
0.1011
|
0.026
|
Frequency for communication on creativity
|
0.1768***
|
0.0531
|
0.001
|
Boundary spanning
|
0.0224
|
0.0712
|
0.753
|
Product innovation
|
0.6486***
|
0.0744
|
0.000
|
Organizational innovation
|
0.2093**
|
0.0778
|
0.007
|
Marketing innovation
|
0.2242***
|
0.0669
|
0.001
|
Process innovation
|
0.0412
|
0.0769
|
0.592
|
Dependant variable: performance
|
***. Significant at 1% , ** significant at 5% ;*significant at 10%
|
Model Fitness Test
The Root Mean Squared Error of Approximation (RMSEA), the Standardized Root Mean Squared Residual (SRMR) and the Coefficient of Determination (CD) are commonly used parameters to measure the goodness-of-fit of the SEM model. The RMSEA, which is an important post optimality test of SEM regression shows that the value in this model is below the threshold level of 0.08. This test labels the SEM model as fit if the lower bound of the 90% confidence interval is below 0.05 and the upper bound is above 0.10. The p-value for a test of close fit (p close) is between 0.994 and 1, which provides strong evidence for the acceptance of the RMSEA that is below 0.05 at 90% confidence interval as a model fit indicator. Thus, our SEM model best fit the dataset as it provides the most important model fit statistics (i.e. RMSEA value).
Table 6. Model fitness test of SEM results
Description
|
Value for 2016
|
Root mean squared error of approximation (RMSEA)
|
0.008
|
Pclose value (Probability RMSEA <= 0.05)
|
1.000
|
Comparative fit index (CFI)
|
1.000
|
Tucker-Lewis index (TLI)
|
1.000
|
Standardized root mean squared residual (SRMR)
|
0.000
|
Coefficient of determination (CD)
|
0.280
|
As it was noted by Bentler (1990), the Comparative Fit Index (CFI) and Tucker-Lewis Index (TLI) values of 1 or closer shows good model fit to the dataset. Accordingly, the SEM model provided CFI and TLI values of 1.00, see Table 6. The CD, which is the R2 of the model, shows perfect fit of the model when it is 1 or 100%. However, for cross sectional data like that of ours, the CD values are often far less than the indicated threshold. Additionally, the SRMR value of zero shows a perfect fit of SEM model while the values of below 0.08 still show better fit of the model. In the above table, the SRMR values of 0.000 shows the goodness of fit of SEM model to our datasets.